# dsp.SpectrumAnalyzer

(To be removed) Display frequency spectrum of time-domain signals

**
**

**The**`dsp.SpectrumAnalyzer`

object will be removed in a future release. Use the`spectrumAnalyzer`

MATLAB^{®}object instead.**The**`CCDFMeasurements`

property of the`dsp.SpectrumAnalyzer`

object will be removed in a future release. Use the`powermeter`

object instead to compute and visualize CCDF measurements.

**
**

**For more information on how to replace your existing code, see Compatibility Considerations.**

## Description

The Spectrum Analyzer System object™ displays the frequency spectrum of time-domain signals. This scope supports variable-size input, which allows the input frame size to change. Frame size is the first dimension of the input vector. The number of input channels must remain constant.

To display the spectra of signals in the Spectrum Analyzer:

Create the

`dsp.SpectrumAnalyzer`

object and set its properties.Call the object with arguments, as if it were a function.

To learn more about how System objects work, see What Are System Objects?

## Creation

### Syntax

### Description

`scope = dsp.SpectrumAnalyzer`

creates a Spectrum Analyzer
System object. This object displays the frequency spectrum of real- and complex-valued
floating- and fixed-point signals.

`scope = dsp.SpectrumAnalyzer(ports)`

creates a Spectrum Analyzer
object and sets the NumInputPorts property
to the value of `ports`

.

`scope = dsp.SpectrumAnalyzer(Name,Value)`

sets properties using
one or more name-value pairs. Enclose each property name in single quotes.

## Properties

Unless otherwise indicated, properties are *nontunable*, which means you cannot change their
values after calling the object. Objects lock when you call them, and the
`release`

function unlocks them.

If a property is *tunable*, you can change its value at
any time.

For more information on changing property values, see System Design in MATLAB Using System Objects.

### Frequently Used

`NumInputPorts`

— Number of input ports

`1`

(default) | integer between [1, 96]

Number of input ports, specified as a positive integer. Each signal coming through a separate input becomes a separate channel in the scope. You must invoke the scope with the same number of inputs as the value of this property.

`InputDomain`

— Domain of the input signal

`"Time"`

(default) | `"Frequency"`

The domain of the input signal you want to visualize. If you visualize time-domain
signals, the signal is transformed to the frequency spectrum based on the algorithm
specified by the `Method`

parameter.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **Input Domain**.

**Data Types: **`char`

| `string`

`SpectrumType`

— Type of spectrum to show

`"Power"`

(default) | `"Power density"`

| `"RMS"`

Specify the spectrum type to display.

`"Power"`

— Power spectrum

`"Power density"`

— Power spectral density. The power spectral
density is the magnitude squared of the spectrum normalized to a bandwidth of 1
hertz.

`"RMS"`

— Root mean square. The root-mean-square shows the square
root of the mean square. This option is useful when viewing the frequency of voltage or
current signals.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **Type**.

**Data Types: **`char`

| `string`

`ViewType`

— Viewer type

`"Spectrum"`

(default) | `"Spectrogram"`

| `"Spectrum and spectrogram"`

Specify the spectrum type as one of `"Spectrum"`

,
`"Spectrogram"`

, or `"Spectrum and spectrogram"`

.

`"Spectrum"`

— shows the power spectrum.`"Spectrogram"`

— shows frequency content over time. Each line of the spectrogram is one periodogram. Time scrolls from the bottom to the top of the display. The most recent spectrogram update is at the bottom of the display.`"Spectrum and Spectrogram"`

— shows a dual view of a spectrum and spectrogram.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **View**.

**Data Types: **`char`

| `string`

`SampleRate`

— Sample rate of input

`10000`

(default) | finite scalar

Specify the sample rate, in hertz, of the input signals as a finite numeric scalar.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **Sample rate (Hz)**.

`Method`

— Spectrum estimation method

`"Welch"`

(default) | `"Filter Bank"`

Specify the spectrum estimation method as `Welch`

or ```
Filter
bank
```

.

#### Dependency

To enable this property, set `InputDomain`

to
`"Time"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **Method**.

**Data Types: **`char`

| `string`

`PlotAsTwoSidedSpectrum`

— Two-sided spectrum flag

`true`

(default) | `false`

`true`

— Compute and plot two-sided spectral estimates. When the input signal is complex-valued, you must set this property to`true`

.`false`

— Compute and plot one-sided spectral estimates. If you set this property to`false`

, then the input signal must be real-valued.When this property is

`false`

, Spectrum Analyzer uses power-folding. The*y*-axis values are twice the amplitude that they would be if this property were set to`true`

, except at`0`

and the Nyquist frequency. A one-sided power spectral density (PSD) contains the total power of the signal in the frequency interval from DC to half of the Nyquist rate. For more information, see`pwelch`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, select **Two-sided
spectrum**.

**Data Types: **`logical`

`FrequencyScale`

— Frequency scale

`"Linear"`

(default) | `"Log"`

`"Log"`

— displays the frequencies on the*x*-axis on a logarithmic scale. To use the`"Log"`

setting, you must also set the`PlotAsTwoSidedSpectrum`

property to`false`

.`"Linear"`

— displays the frequencies on the*x*-axis on a linear scale. To use the`"Linear"`

setting, you must also set the`PlotAsTwoSidedSpectrum`

property to`true`

.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Scale**.

**Data Types: **`char`

| `string`

### Advanced

`FrequencySpan`

— Frequency span mode

`"Full"`

(default) | `"Span and center frequency"`

| `"Start and stop frequencies"`

`"Full"`

- The Spectrum Analyzer computes and plots the spectrum over the entire Nyquist frequency interval.`"Span and center frequency"`

- The Spectrum Analyzer computes and plots the spectrum over the interval specified by the`Span`

and`CenterFrequency`

properties.`"Start and stop frequencies"`

- The Spectrum Analyzer computes and plots the spectrum over the interval specified by the`StartFrequency`

and`StopFrequency`

properties.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, select **Full frequency span** for
`"Full"`

. Otherwise, clear the **Full frequency
span** check box and choose between `Span`

or
`FStart`

.

**Data Types: **`char`

| `string`

`Span`

— Frequency span to compute spectrum

`10e3`

(default) | real positive scalar

Specify the frequency span, in hertz, over which the Spectrum Analyzer computes
and plots the spectrum. The overall span, defined by this property and the
`CenterFrequency`

property, must fall within the Nyquist Frequency Interval.

**Tunable: **Yes

#### Dependency

To enable this property, set `FrequencySpan`

to
`"Span and center frequency"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, clear the **Full frequency span**
check box and set `Span`

.

`StartFrequency`

— Start frequency to compute spectrum

`-5e3`

(default) | real scalar

Start of the frequency interval over which spectrum is computed, specified in
hertz as a real scalar. The overall span, which is defined by this property and
`StopFrequency`

, must fall within the Nyquist Frequency Interval.

**Tunable: **Yes

#### Dependency

To enable this property, set `FrequencySpan`

to
`"Start and stop frequencies"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, clear the **Full frequency span** and
change `Span`

to `FStart`

. Set
**FStart (Hz)**.

`StopFrequency`

— Stop frequency to compute spectrum

`5e3`

(default) | real scalar

End of the frequency interval over which spectrum is computed, specified in hertz
as a real scalar. The overall span, which is defined by this property and the
`StartFrequency`

property, must fall within the Nyquist Frequency Interval.

**Tunable: **Yes

#### Dependency

To enable this property, set `FrequencySpan`

to
`"Start and stop frequencies"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, clear the **Full frequency span** and
change `Span`

to `FStart`

. Set
**FStop (Hz)**.

`CenterFrequency`

— Center of frequency span

`0`

(default) | real scalar

Specify in hertz the center frequency of the span over which the Spectrum Analyzer
computes and plots the spectrum. The overall frequency span, defined by the
`Span`

and this property, must fall within the Nyquist Frequency Interval.

**Tunable: **Yes

#### Dependency

To enable this property, set `FrequencySpan`

to
`"Span and center frequency"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the
**Main**, clear **Full frequency span** and set
**CF (Hz)**.

`FrequencyResolutionMethod`

— Frequency resolution method

`"RBW"`

(default) | `"WindowLength"`

| `"NumFrequencyBands"`

Specify the frequency resolution method of the Spectrum Analyzer.

`"RBW"`

- The`RBWSource`

and`RBW`

properties control the frequency resolution (in Hz) of the analyzer. The FFT length is the window length that results from achieving the specified RBW value or 1024, whichever is larger.`"WindowLength"`

- Applies only when the`Method`

property is set to`"Welch"`

. The`WindowLength`

property controls the frequency resolution. You can control the number of FFT points only when the`FrequencyResolutionMethod`

property is`"WindowLength"`

.`"NumFrequencyBands"`

- Applies only when the`Method`

property is set to`"Filter Bank"`

. The`FFTLengthSource`

and`FFTLength`

properties control the frequency resolution.

**Tunable: **Yes

#### Dependency

To enable this property, set `InputDomain`

to
`"Time"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main options** section, set the
frequency resolution method by selecting the **RBW (Hz)** dropdown.

**Data Types: **`char`

| `string`

`RBWSource`

— Source of resolution bandwidth value

`"Auto"`

(default) | `"Property"`

Specify the source of the resolution bandwidth (RBW) as either
`"Auto"`

or `"Property"`

.

`"Auto"`

— The Spectrum Analyzer adjusts the spectral estimation resolution to ensure that there are 1024 RBW intervals over the defined frequency span.`"Property"`

— Specify the resolution bandwidth directly using the`RBW`

property.

**Tunable: **Yes

#### Dependency

To enable this property, set either:

`InputDomain`

to`"Time"`

and`FrequencyResolutionMethod`

to`"RBW"`

.`InputDomain`

to`"Frequency"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **RBW (Hz)**.

**Data Types: **`char`

| `string`

`RBW`

— Resolution bandwidth

`9.76`

(default) | real positive scalar

RBW controls the spectral resolution of Spectrum Analyzer. Specify the resolution bandwidth in hertz as a real positive scalar. You must specify a value to ensure that there are at least two RBW intervals over the specified frequency span. Thus, the ratio of the overall span to RBW must be greater than two:

$$\frac{span}{RBW}>2$$

You can specify the overall span in different ways based on how you
set the `FrequencySpan`

property.

#### Dependency

To enable, set:

`RBWSource`

to`"Property"`

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **RBW (Hz)**.

`WindowLength`

— Window length

`1024`

(default) | integer greater than 2

Control the frequency resolution by specifying the window length, in samples used to compute the spectral estimates. The window length must be an integer scalar greater than 2.

**Tunable: **Yes

#### Dependencies

To enable this property, set:

`FrequencyResolutionMethod`

to`"WindowLength"`

, which controls the frequency resolution based on your window length setting`Method`

to`"Welch"`

#### Scope Window Use

Open the **Spectrum Settings**. Change the **RBW
(Hz)** dropdown to `Window length`

.

`FFTLengthSource`

— Source of the FFT length

`"Auto"`

(default) | `"Property"`

`"Auto"`

- sets the FFT length to the window length specified in the`WindowLength`

property or 1024, whichever is larger.`"Property"`

- number of FFT points using the`FFTLength`

property.`FFTLength`

must be greater than`WindowLength`

.

**Tunable: **Yes

#### Dependency

To enable this property, set `FrequencyResolutionMethod`

to
`"WindowLength"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main options** section, next to the **RBW (Hz)** option, enter
a number or select `Auto`

.

**Data Types: **`char`

| `string`

`FFTLength`

— Length of FFT

`1024`

(default) | positive integer

Specify the length of the FFT that the Spectrum Analyzer uses to compute spectral estimates.

If `FrequencyResolutionMethod`

is `"RBW"`

, the
FFT length is set as the window length required to achieve the specified resolution
bandwidth value or 1024, whichever is larger.

**Tunable: **Yes

#### Dependencies

To use this property, the following must be true:

`FrequencyResolutionMethod`

is set to`"WindowLength"`

or`"NumFrequencyBands"`

`FFTLength`

is greater than or equal to the`WindowLength`

.`FFTLengthSource`

is set to`"Property"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, next to the **RBW (Hz)** option,
enter a number or select `Auto`

.

`NumTapsPerBand`

— Number of filter taps per frequency band

`12`

(default) | positive even scalar

Specify the number of filter taps or coefficients for each frequency band. This
number must be a positive even integer. This value corresponds to the number of filter
coefficients per polyphase branch. The total number of filter coefficients is equal to
`NumTapsPerBand`

+ `FFTLength`

.

#### Dependency

To enable this property, set `Method`

to ```
"Filter
Bank"
```

#### Scope Window Use

Open the **Spectrum Settings**. In the **Main
options** section, set **Taps per band**.

`FrequencyVectorSource`

— Source of frequency vector

`"Auto"`

(default) | `"Property"`

`"Auto"`

— The frequency vector is calculated from the length of the input. See Frequency Vector.`"Property"`

— Enter a custom vector as the frequency vector.

#### Dependency

To enable this property, set `InputDomain`

to
`"Frequency"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Frequency
input options** section, set **Frequency (Hz)**.

**Data Types: **`char`

| `string`

`FrequencyVector`

— Custom frequency vector

`[-5000 5000]`

(default) | monotonically increasing vector

Set the frequency vector that determines the *x*-axis of the display. The
vector must be monotonically increasing and of the same size as the input frame size.

#### Dependency

To enable this property, set `FrequencyVectorSource`

to
`"Property"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Frequency input
options** section, set **Frequency (Hz)**.

**Data Types: **`single`

| `double`

| `int8`

| `int16`

| `int32`

| `int64`

| `uint8`

| `uint16`

| `uint32`

| `uint64`

`OverlapPercent`

— Overlap percentage

`0`

(default) | real, scalar value

The percentage overlap between the previous and current buffered data segments, specified as a real, scalar value. The overlap creates a window segment that is used to compute a spectral estimate. The value must be greater than or equal to zero and less than 100.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Window
options** section, set **Overlap (%)**.

`Window`

— Window function

`"Hann"`

(default) | `"Rectangular"`

| `"Chebyshev"`

| `"Flat Top"`

| `"Hamming"`

| `"Kaiser"`

| `"Blackman-Harris"`

| `"Custom"`

Specify a window function for the spectral estimator. The following table shows preset windows. For more information, follow the link to the corresponding function reference in the Signal Processing Toolbox™ documentation.

Window Option | Corresponding Signal Processing Toolbox Function |
---|---|

`"Rectangular"` | `rectwin` |

`"Chebyshev"` | `chebwin` |

`"Flat Top"` | `flattopwin` |

`"Hamming"` | `hamming` |

`"Hann"` | `hann` |

`"Kaiser"` | `kaiser` |

`"Blackman-Harris"` | `blackmanharris` |

To set your own spectral estimation window, set this property to
`"Custom"`

and specify a custom window function in the
`CustomWindow`

property.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Window
options** section, set **Window**.

**Data Types: **`char`

| `string`

`CustomWindow`

— Custom window function

`"hann"`

(default) | character array | string scalar

Specify a custom window function as a character array or string. The custom window function name must be on the MATLAB path. This property is useful if you want to customize the window using additional properties available with the Signal Processing Toolbox version of the window function.

**Tunable: **Yes

#### Example

Define and use a custom window function.

function w = my_hann(L) w = hann(L, 'periodic') end scope.Window = 'Custom'; scope.CustomWindow = 'my_hann'

#### Dependency

To use this property, set `Window`

to
`"Custom"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Window
options** section, in the **Window** option box, enter
a custom window function name.

**Data Types: **`char`

| `string`

`SidelobeAttenuation`

— Sidelobe attenuation of window

`60`

(default) | real positive scalar

The window sidelobe attenuation, in decibels (dB). The value must be greater than
or equal to `45`

.

**Tunable: **Yes

#### Dependency

To enable this property, set `Window`

to
`"Chebyshev"`

or `"Kaiser"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Window
options** section, set **Attenuation (dB)**.

`InputUnits`

— Units of frequency input

`"dBm"`

(default) | `"dBV"`

| `"dBW"`

| `"Vrms"`

| `"Watts"`

Select the units of the frequency-domain input. This property allows the Spectrum
Analyzer to scale frequency data if you choose a different display unit with the
`SpectrumUnits`

property.

#### Dependency

This option is only available when `InputDomain`

is set to
`Frequency`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Frequency
input options** section, set **Input units**.

**Data Types: **`char`

| `string`

`SpectrumUnits`

— Units of the spectrum

`"Auto"`

(default) | `"dBm"`

| `"dBFS"`

| `"dBV"`

| `"dBW"`

| `"Vrms"`

| `"Watts"`

Specify the units in which the Spectrum Analyzer displays power values.

**Tunable: **Yes

#### Dependency

The available spectrum units depend on the value of
`SpectrumType`

.

`InputDomain` | `SpectrumType` | Allowed
`SpectrumUnits` |
---|---|---|

`Time` | `Power` or ```
Power
density
``` | `"dBFS"` , `"dBm"` ,
`"dBW"` , `"Watts"` |

`RMS` | `"Vrms"` , `"dBV"` | |

`Frequency` | ― | `"dBm"` , `"dBV"` ,
`"dBW"` , `"Vrms"` ,
`"Watts"` , |

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Units**.

**Data Types: **`char`

| `string`

`FullScaleSource`

— Source of full scale

`"Auto"`

(default) | `"Property"`

Specify the source of the dBFS scaling factor as either `"Auto"`

or
`"Property"`

.

`"Auto"`

- The Spectrum Analyzer adjusts the scaling factor based on the input data.`"Property"`

- Specify the full-scale scaling factor using the`FullScale`

property.

#### Dependency

To enable this property, set `SpectrumUnits`

to
`"dBFS"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Full scale** to
`Auto`

or enter a number.

**Data Types: **`char`

| `string`

`FullScale`

— Full scale

`1`

(default) | positive scalar

Specify a real positive scalar for the `dBFS`

full scale.

**Tunable: **Yes

#### Dependency

To enable this option set:

`SpectrumUnits`

to`"dBFS"`

`FullScaleSource`

to`"Property"`

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Full scale** to
`Auto`

or enter a number.

`AveragingMethod`

— Smoothing method

`"Running"`

(default) | `"Exponential"`

Specify the smoothing method as:

`Running`

— Running average of the last*n*samples. Use the`SpectralAverages`

property to specify*n*.`Exponential`

— Weighted average of samples. Use the`ForgettingFactor`

property to specify the weighted forgetting factor.

For more information about the averaging methods, see Averaging Method.

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrum"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the
**Trace options** section, set
**Averaging method**.

**Data Types: **`char`

| `string`

`SpectralAverages`

— Number of spectral averages

`1`

(default) | positive integer

The Spectrum Analyzer computes the current power spectrum estimate by computing a
running average of the last *N* power spectrum estimates. This
property defines *N*.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrum"`

.

#### Dependency

This property applies only when the `AveragingMethod`

is
`"Running"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Averages**.

`ForgettingFactor`

— Weighting forgetting factor

`0.9`

(default) | scalar in the range (0,1]

Specify the exponential weighting as a scalar value greater than 0 and less than or equal to 1.

#### Dependency

This property applies only when the `AveragingMethod`

is
`"Exponential"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Forgetting factor**.

`ReferenceLoad`

— Reference load

`1`

(default) | real positive scalar

The load the scope uses as a reference to compute power levels.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Ref. load (Ohms)**.

`FrequencyOffset`

— Frequency offset

`0`

(default) | scalar | vector

Scalar — Apply the same frequency offset to all channels, specified in hertz as a character vector.

Vector — apply a specific frequency offset for each channel, specify a vector of frequencies. The vector length must be equal to number of input channels.

The frequency-axis values are offset by the values specified in this property. The overall span must fall within the Nyquist Frequency Interval. You can control the overall span in different ways based on how you set the

`FrequencySpan`

property.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, set **Offset (Hz)**.

### Spectrogram

`SpectrogramChannel`

— Channel for which spectrogram is plotted

`1`

(default) | positive scalar integer

Specify the channel for which the spectrogram is plotted, as a real, positive
scalar integer in the range [1 *N*], where *N* is
the number of input channels.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrogram"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Spectrogram
options** section, select a **Channel**.

`TimeResolutionSource`

— Source of the time resolution value

`"Auto"`

(default) | `"Property"`

Specify the source for the time resolution of each spectrogram line as either
`"Auto"`

or `"Property"`

. The
`TimeResolution`

property shows the time resolution for the
different frequency resolution methods and time resolution properties.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrogram"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Spectrogram
options** section, set **Time res (s)**.

**Data Types: **`char`

| `string`

`TimeResolution`

— Time resolution

`0.001`

(default) | positive scalar

Specify the time resolution of each spectrogram line as a positive scalar, expressed in seconds.

The time resolution value is determined based on frequency resolution method, the RBW setting, and the time resolution setting.

Method | Frequency Resolution Method | Frequency Resolution Setting | Time Resolution Setting | Resulting Time Resolution in Seconds |
---|---|---|---|---|

`Welch` or ```
Filter
Bank
``` | `RBW (Hz)` | `Auto` | `Auto` | 1/RBW |

`Welch` or ```
Filter
Bank
``` | `RBW (Hz)` | `Auto` | Manually entered | Time Resolution |

`Welch` or ```
Filter
Bank
``` | `RBW (Hz)` | Manually entered | `Auto` | 1/RBW |

`Welch` or ```
Filter
Bank
``` | `RBW (Hz)` | Manually entered | Manually entered | Must be equal to or greater than the minimum attainable time resolution, 1/RBW. Several spectral estimates are combined into one spectrogram line to obtain the desired time resolution. Interpolation is used to obtain time resolution values that are not integer multiples of 1/RBW. |

`Welch` | `Window length` | — | `Auto` | 1/RBW |

`Welch` | `Window length` | — | Manually entered | Must be equal to or greater than the minimum attainable time resolution. Several spectral estimates are combined into one spectrogram line to obtain the desired time resolution. Interpolation is used to obtain time resolution values that are not integer multiples of 1/RBW. |

`Filter Bank` | `Number of frequency bands` | — | `Auto` | 1/RBW |

`Filter Bank` | `Number of frequency bands` | — | Manually entered | Must be equal to or greater than the minimum attainable time resolution, 1/RBW. |

**Tunable: **Yes

#### Dependency

To enable this property, set:

`ViewType`

to`"Spectrogram"`

or`"Spectrum and spectrogram"`

`TimeResolutionSource`

to`"Property`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Spectrogram
options** section, in the **Time res (s)** box, enter a
number.

`TimeSpanSource`

— Source of time span value

`"Auto"`

(default) | `"Property"`

Specify the source for the time span of the spectrogram as either
`"Auto"`

or `"Property"`

. If you set this property
to `"Auto"`

, the spectrogram displays 100 spectrogram lines at any
given time. If you set this property to `"Property"`

, the spectrogram
uses the time duration you specify in seconds in the `TimeSpan`

property.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrogram"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Spectrogram
options** section, set **Time span (s)**.

**Data Types: **`char`

| `string`

`TimeSpan`

— Time span

`0.1`

(default) | positive scalar

Specify the time span of the spectrogram display in seconds. You must set the time span to be at least twice as large as the duration of the number of samples required for a spectral update.

**Tunable: **Yes

#### Dependency

To enable this property, set:

`ViewType`

to`"Spectrogram"`

or`"Spectrum and spectrogram"`

.`TimeSpanSource`

to`"Property"`

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Spectrogram
options** section, in the **Time span (s)** box, enter a
number.

### Measurements

`MeasurementChannel`

— Channel for which measurements are obtained

`1`

(default) | positive integer

Channel for which the measurements are obtained, specified as a real, positive integer greater than 0 and less than or equal to 100. The maximum number you can specify is the number of channels (columns) in the input signal.

**Tunable: **Yes

#### Scope Window Use

Click on **Tools** > **Measurements** and
open the **Trace Selection** settings.

**Data Types: **`double`

`SpectralMask`

— Spectral mask lines

`SpectralMaskSpecification`

object

Specify whether to display upper and lower spectral mask lines on a spectrum plot.
This property uses properties from a `SpectralMaskSpecification`

object to enable and configure the spectral
masks.

**Tunable: **Yes

#### Scope Window Use

Open the **Spectral Mask** pane and modify the
**Settings** options.

`PeakFinder`

— Peak finder measurement

`PeakFinderSpecification`

object

Enable peak finder to compute and display the largest calculated peak values. The `PeakFinder`

property uses the `PeakFinderSpecification`

properties.

The `PeakFinderSpecification`

properties are:

`MinHeight`

–– Level above which peaks are detected, specified as a scalar value.Default:

`-Inf`

`NumPeaks`

–– Maximum number of peaks to show, specified as a positive integer scalar less than 100.Default:

`3`

`MinDistance`

–– Minimum number of samples between adjacent peaks, specified as a positive real scalar.Default:

`1`

`Threshold`

–– Minimum height difference between peak and its neighboring samples, specified as a nonnegative real scalar.Default:

`0`

`LabelFormat`

–– Coordinates to display next to the calculated peak value, specified as a character vector or a string scalar. Valid values are`"X"`

,`"Y"`

, or`"X + Y"`

.Default:

`"X + Y"`

`Enable`

–– Set this property to`true`

to enable peak finder measurements. Valid values are`true`

or`false`

.Default:

`false`

All `PeakFinderSpecification`

properties are tunable.

**Tunable: **Yes

#### Scope Window Use

Open the **Peak Finder** pane () and modify the **Settings**
options.

`CursorMeasurements`

— Cursor measurements

`CursorMeasurementsSpecification`

object

Enable cursor measurements to display screen or waveform cursors. The `CursorMeasurements`

property uses the `CursorMeasurementsSpecification`

properties.

The `CursorMeasurementsSpecification`

properties are:

`Type`

–– Type of the display cursors, specified as either`"Screen cursors"`

or`"Waveform cursors"`

.Default:

`"Waveform cursors"`

`ShowHorizontal`

–– Set this property to`true`

to show the horizontal screen cursors. This property applies when you set the`Type`

property to`"Screen cursors"`

.Default:

`true`

`ShowVertical`

–– Set this property to`true`

to show the vertical screen cursors. This property applies when you set the`Type`

property to`"Screen cursors"`

.Default:

`true`

`Cursor1TraceSource`

–– Specify the waveform cursor 1 source as a positive real scalar. This property applies when you set the`Type`

property to`"Waveform cursors"`

.Default:

`1`

`Cursor2TraceSource`

–– Specify the waveform cursor 2 source as a positive real scalar. This property applies when you set the`Type`

property to`"Waveform cursors"`

.Default:

`1`

`LockSpacing`

–– Lock spacing between cursors, specified as a logical scalar.Default:

`false`

`SnapToData`

–– Snap cursors to data, specified as a logical scalar.Default:

`true`

`XLocation`

––*x*-coordinates of the cursors, specified as a real vector of length equal to 2.Default:

`[-2500 2500]`

`YLocation`

––*y*-coordinates of the cursors, specified as a real vector of length equal to 2. This property applies when you set the`Type`

property to`"Screen cursors"`

.Default:

`[-55 5]`

`Enable`

–– Set this property to`true`

to enable cursor measurements. Valid values are`true`

or`false`

.Default:

`false`

All `CursorMeasurementsSpecification`

properties are tunable.

#### Scope Window Use

Open the **Cursor Measurements** pane () and modify the **Settings**
options.

`ChannelMeasurements`

— Channel measurements

`ChannelMeasurementsSpecification`

object

Enable channel measurements to compute and display the occupied bandwidth or adjacent channel power ratio. The `ChannelMeasurements`

property uses the `ChannelMeasurementsSpecification`

properties.

The `ChannelMeasurementsSpecification`

properties are:

`Algorithm`

–– Type of measurement data to display, specified as either`"Occupied BW"`

or`"ACPR"`

.Default:

`"Occupied BW"`

`FrequencySpan`

–– Frequency span mode, specified as either`"Span and center frequency"`

or`"Start and stop frequencies"`

Default:

`"Span and center frequency"`

`Span`

–– Frequency span over which the channel measurements are computed, specified as a real, positive scalar in Hz. This property applies when you set the`FrequencySpan`

property to`"Span and center frequency"`

.Default:

`2000`

Hz`CenterFrequency`

–– Center frequency of the span over which the channel measurements are computed, specified as a real scalar in Hz. This property applies when you set the`FrequencySpan`

property to`"Span and center frequency"`

.Default:

`0`

Hz`StartFrequency`

–– Start frequency over which the channel measurements are computed, specified as a real scalar in Hz. This property applies when you set the`FrequencySpan`

property to`"Start and stop frequencies"`

.Default:

`-1000`

Hz`StopFrequency`

–– Stop frequency over which the channel measurements are computed, specified as a real scalar in Hz. This property applies when you set the`FrequencySpan`

property to`"Start and stop frequencies"`

.Default:

`1000`

Hz`PercentOccupiedBW`

–– Percent of power over which to compute the occupied bandwidth, specified as a positive real scalar. This property applies when you set the`Algorithm`

property to`"Occupied BW"`

.Default:

`99`

`NumOffsets`

–– Number of adjacent channel pairs, specified as a real, positive integer. This property applies when you set the`Algorithm`

property to`"ACPR"`

.Default:

`2`

`AdjacentBW`

–– Adjacent channel bandwidth, specified as a real, positive scalar. This property applies when you set the`Algorithm`

property to`"ACPR"`

.Default:

`1000`

`FilterShape`

–– Filter shape for both main and adjacent channels, specified as`"None"`

,`"Gaussian"`

, or`"RRC"`

. This property applies when you set the`Algorithm`

property to`"ACPR"`

.Default:

`"None"`

`FilterCoeff`

–– Channel filter coefficient, specified as a real scalar between`0`

and`1`

. This property applies when you set the`Algorithm`

property to`"ACPR"`

and the`FilterShape`

property to either`"Gaussian"`

or`"RRC"`

.Default:

`0.5`

`ACPROffsets`

–– Frequency of the adjacent channel relative to the center frequency of the main channel, specified as a real vector of length equal to the number of offset pairs specified in`NumOffsets`

. This property applies when you set the`Algorithm`

property to`"ACPR"`

.Default:

`[2000 3500]`

`Enable`

–– Set this property to`true`

to enable channel measurements. Valid values are`true`

or`false`

.Default:

`false`

All `ChannelMeasurementsSpecification`

properties are tunable.

#### Scope Window Use

Open the **Channel Measurements** pane () and modify the **Measurement**
and **Channel Settings** options.

`DistortionMeasurements`

— Distortion measurements

`DistortionMeasurementsSpecification`

object

Enable distortion measurements to compute and display the harmonic distortion and intermodulation distortion. The `DistortionMeasurements`

property uses the `DistortionMeasurementsSpecification`

properties.

The `DistortionMeasurementsSpecification`

properties are:

`Algorithm`

–– Type of measurement data to display, specified as either`"Harmonic"`

or`"Intermodulation"`

.Default:

`"Harmonic"`

`NumHarmonics`

–– Number of harmonics to measure, specified as a real, positive integer. This property applies when you set the`Algorithm`

to`"Harmonic"`

.Default:

`6`

`Enable`

–– Set this property to`true`

to enable distortion measurements.Default:

`false`

All `DistortionMeasurementsSpecification`

properties are tunable.

#### Scope Window Use

Open the **Distortion Measurements** pane () and modify the **Distortion**
and **Harmonics** options.

### Visualization

`Name`

— Window name

`"Spectrum Analyzer"`

(default) | character vector | string scalar

Title of the scope window.

**Tunable: **Yes

**Data Types: **`char`

| `string`

`Position`

— Window position

screen center (default) | `[left bottom width height]`

Spectrum Analyzer window position in pixels, specified by the size and location of the scope window as a four-element double vector of the form [left bottom width height]. You can place the scope window in a specific position on your screen by modifying the values to this property.

By default, the window appears in the center of your screen with a width of `800`

pixels and height
of `450`

pixels. The exact center coordinates depend on your screen resolution.

**Tunable: **Yes

`PlotType`

— Plot type for normal traces

`"Line"`

(default) | `"Stem"`

Specify the type of plot to use for displaying normal traces as either
`"Line"`

or `"Stem"`

. Normal traces are traces
that display free-running spectral estimates.

**Tunable: **Yes

#### Dependencies

To enable this property, set:

`ViewType`

to`"Spectrum"`

or`"Spectrum and spectrogram"`

`PlotNormalTrace`

to`true`

#### Scope Window Use

Open the **Style** properties and set **Plot
type**.

**Data Types: **`char`

| `string`

`PlotNormalTrace`

— Normal trace flag

`true`

(default) | `false`

Set this property to `false`

to remove the display of the normal
traces. These traces display the free-running spectral estimates. Even when the traces
are removed from the display, the Spectrum Analyzer continues its spectral
computations.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrum"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, select **Normal trace**.

**Data Types: **`logical`

`PlotMaxHoldTrace`

— Max-hold trace flag

`false`

(default) | `true`

To compute and plot the maximum-hold spectrum of each input channel, set this property
to `true`

. The maximum-hold spectrum at each frequency bin is computed
by keeping the maximum value of all the power spectrum estimates. When you toggle this
property, the Spectrum Analyzer resets its maximum-hold computations.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrum"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, select **Max-hold trace**.

**Data Types: **`logical`

`PlotMinHoldTrace`

— Min-hold trace flag

`false`

(default) | `true`

To compute and plot the minimum-hold spectrum of each input channel, set this property
to `true`

. The minimum-hold spectrum at each frequency bin is computed
by keeping the minimum value of all the power spectrum estimates. When you toggle this
property, the Spectrum Analyzer resets its minimum-hold computations.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrum"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. In the **Trace
options** section, select **Min-hold trace**.

**Data Types: **`logical`

`Title`

— Display title

`''`

(default) | character vector | string scalar

Specify the display title as a character vector or string.

**Tunable: **Yes

#### Scope Window Use

Open the **Configuration Properties**. Set
**Title**.

**Data Types: **`char`

| `string`

`YLabel`

— Y-axis label

`''`

(default) | character vector | string scalar

Specify the text for the scope to display to the left of the
*y*-axis.

Regardless of this property, Spectrum Analyzer always displays power units as one of
the `SpectrumUnits`

values.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to
`"Spectrum"`

or ```
"Spectrum and
spectrogram"
```

.

#### Scope Window Use

Open the **Configuration Properties**. Set
**Y-label**.

**Data Types: **`char`

| `string`

`ShowLegend`

— Show legend

`false`

(default) | `true`

To show a legend with the input names, set this property to
`true`

.

From the legend, you can control which signals are visible. This control is equivalent
to changing the visibility in the **Style** dialog box. In the scope
legend, click a signal name to hide the signal in the scope. To show the signal, click
the signal name again. To show only one signal, right-click the signal name. To show all
signals, press **Esc**.

**Note**

The legend only shows the first 20 signals. Any additional signals cannot be viewed or controlled from the legend.

**Tunable: **Yes

#### Scope Window Use

Open the **Configuration Properties**. On the
**Display** tab, select **Show
legend**.

**Data Types: **`logical`

`ChannelNames`

— Channel names

empty cell (default) | cell array of character vectors | array of strings

Specify the input channel names as a cell array of character vectors or an array of
strings. The names appear in the legend, **Style** dialog box, and
**Measurements** panels. If you do not specify names, the channels
are labeled as `Channel 1`

, `Channel 2`

, etc.

**Tunable: **Yes

#### Dependency

To see channel names, set `ShowLegend`

to
`true`

.

#### Scope Window Use

On the legend, double-click the channel name.

**Data Types: **`char`

`ShowGrid`

— Grid visibility

`true`

(default) | `false`

Set this property to `true`

to show gridlines on the plot.

**Tunable: **Yes

#### Scope Window Use

Open the **Configuration Properties**. On the
**Display** tab, set **Show grid**.

**Data Types: **`logical`

`YLimits`

— Y-axis limits

`[-80, 20]`

(default) | `[ymin ymax]`

Specify the *y*-axis limits as a two-element numeric vector,
`[ymin ymax]`

.

**Example: **`scope.YLimits = [-10,20]`

**Tunable: **Yes

#### Dependencies

To enable this property, set the

`ViewType`

property to`"Spectrum"`

or`"Spectrum and spectrogram"`

.The units directly depend upon the

`SpectrumUnits`

property.

#### Scope Window Use

Open the **Configuration Properties**. Set **Y-limits
(maximum)** and **Y-limits (minimum)**.

`ColorLimits`

— Scale spectrogram color limits

`[-80, 20]`

(default) | `[colorMin colorMax]`

Control the color limits of the spectrogram using a two-element numeric vector,
`[colorMin colorMax]`

.

**Example: **`scope.ColorLimits = [-10,20]`

#### Dependencies

To enable this property, set the

`ViewType`

property to`"Spectrogram"`

or`"Spectrum and spectrogram"`

.The units directly depend upon the

`SpectrumUnits`

property.

#### Scope Window Use

Open the **Configuration Properties**. Set **Color-limits
(minimum)** and **Color-limits (maximum)**.

`AxesScaling`

— Axes scaling mode

`"Auto"`

(default) | `"Manual"`

| `"OnceAtStop"`

| `"Updates"`

Specify when the scope automatically scales the axes. Valid values are:

`"Auto"`

— The scope scales the axes as-needed to fit the data, both during and after simulation.`"Manual"`

— The scope does not scale the axes automatically.`"OnceAtStop"`

— The scope scales the axes when the simulation stops.`"Updates"`

— The scope scales the axes once after 10 updates.

#### Scope Window Use

Select **Tools** > **Axes Scaling**.

**Data Types: **`char`

| `string`

`AxesLayout`

— Orientation of the spectrum and spectrogram

`"Vertical"`

(default) | `"Horizontal"`

Specify the layout type as `"Horizontal"`

or
`"Vertical"`

. A vertical layout stacks the spectrum above the
spectrogram. A horizontal layout puts the two views side-by-side.

**Tunable: **Yes

#### Dependency

To enable this property, set `ViewType`

to ```
"Spectrum
and spectrogram"
```

.

#### Scope Window Use

Open the **Spectrum Settings**. Set **Axes
layout**.

**Data Types: **`char`

| `string`

## Usage

### Description

`scope(`

updates the spectrum of the
signal in the spectrum analyzer.`signal`

)

`scope(signal1,signal2,...,signalN)`

displays multiple signals in
the spectrum analyzer. The signals must have the same frame length, but can vary in number
of channels. You must set the `NumInputPorts`

property to enable
multiple input signals.

### Input Arguments

`signal`

— Input signal or signals to visualize

scalar | vector | matrix

Specify one or more input signals to visualize in the
`dsp.SpectrumAnalyzer`

. Signals can have a different number of channels, but
must have the same frame length.

**Example: **`scope(signal1, signal2)`

**Data Types: **`single`

| `double`

| `int8`

| `int16`

| `int32`

| `int64`

| `uint8`

| `uint16`

| `uint32`

| `uint64`

| `fi`

## Object Functions

To use an object function, specify the
System object as the first input argument. For
example, to release system resources of a System object named `obj`

, use
this syntax:

release(obj)

### Specific to dsp.SpectrumAnalyzer

`generateScript` | Generate MATLAB script to create scope with current settings |

`getMeasurementsData` | Get the current measurement data displayed on the spectrum analyzer |

`getSpectralMaskStatus` | Get test results of current spectral mask |

`getSpectrumData` | Save spectrum data shown in spectrum analyzer |

`isNewDataReady` | Check spectrum analyzer for new data |

### Specific to Scopes

If you want to restart the simulation from the beginning, call `reset`

to
clear the scope window displays. Do not call `reset`

after calling
`release`

.

## Examples

### Spectrum Analyzer for One-Sided Power Spectrum

View a one-sided power spectrum made from the sum of fixed real sine waves with different amplitudes and frequencies.

Fs = 100e6; % Sampling frequency fSz = 5000; % Frame size sin1 = dsp.SineWave(1e0, 5e6,0,'SamplesPerFrame',fSz,'SampleRate',Fs); sin2 = dsp.SineWave(1e-1,15e6,0,'SamplesPerFrame',fSz,'SampleRate',Fs); sin3 = dsp.SineWave(1e-2,25e6,0,'SamplesPerFrame',fSz,'SampleRate',Fs); sin4 = dsp.SineWave(1e-3,35e6,0,'SamplesPerFrame',fSz,'SampleRate',Fs); sin5 = dsp.SineWave(1e-4,45e6,0,'SamplesPerFrame',fSz,'SampleRate',Fs); scope = dsp.SpectrumAnalyzer; scope.SampleRate = Fs; scope.SpectralAverages = 1; scope.PlotAsTwoSidedSpectrum = false; scope.RBWSource = 'Auto'; scope.PowerUnits = 'dBW'; for idx = 1:1e2 y1 = sin1(); y2 = sin2(); y3 = sin3(); y4 = sin4(); y5 = sin5(); scope(y1+y2+y3+y4+y5+0.0001*randn(fSz,1)); end

Run the `release`

method to let property values and input
characteristics change. The scope automatically scales the axes.

release(scope)

Run the `clear`

function to close the Spectrum Analyzer
window.

`clear('scope');`

### Spectrum Analyzer For Two-Sided Power Spectrum

View a two-sided power spectrum of a sine wave with noise on the Spectrum Analyzer.

sin = dsp.SineWave('Frequency',100,'SampleRate',1000); sin.SamplesPerFrame = 1000; scope = dsp.SpectrumAnalyzer('SampleRate',sin.SampleRate); for ii = 1:250 x = sin() + 0.05*randn(1000,1); scope(x); end

Run the `release`

method to change property values and input
characteristics. The scope automatically scales the axes. It updates the display one
more time if any data is in the internal buffer.

release(scope);

Run the MATLAB `clear`

function to close the Spectrum Analyzer
window.

`clear('scope');`

### Spectrogram of Chirp Signal

This example shows the spectrogram for a chirp signal with added random noise.

Fs = 233e3; frameSize = 20e3; chirp = dsp.Chirp('SampleRate',Fs,... 'SamplesPerFrame',frameSize,... 'InitialFrequency',11e3,... 'TargetFrequency',11e3+55e3); scope = dsp.SpectrumAnalyzer('SampleRate',Fs); scope.ViewType = 'Spectrogram'; scope.RBWSource = 'Property'; scope.RBW = 500; scope.TimeSpanSource = 'Property'; scope.TimeSpan = 2; scope.PlotAsTwoSidedSpectrum = false; for idx = 1:50 y = chirp()+ 0.05*randn(frameSize,1); scope(y); end release(scope)

### Display Frequency Input from Spectral Estimation

Use the Spectrum Analyzer to display frequency input from spectral estimates of sinusoids embedded in white Gaussian noise.

**Initialization**

Initialize two `dsp.SpectrumEstimator`

objects to display. Set one
object to use the Welch-based spectral estimation technique with a Hann window, set the
other object use a filter bank estimation. Specify a noisy sine wave input signal with
four sinusoids at 0.16, 0.2, 0.205, and 0.25 cycles/sample. View the spectral estimate
using a third object, a spectrum analyzer, set to process frequency input.

FrameSize = 420; Fs = 1; Frequency = [0.16 0.2 0.205 0.25]; sinegen = dsp.SineWave('SampleRate',Fs,'SamplesPerFrame',FrameSize,... 'Frequency',Frequency,'Amplitude',[2e-5 1 0.05 0.5]); NoiseVar = 1e-10; numAvgs = 8; hannEstimator = dsp.SpectrumEstimator('PowerUnits','dBm',... 'Window','Hann','FrequencyRange','onesided',... 'SpectralAverages',numAvgs,'SampleRate',Fs); filterBankEstimator = dsp.SpectrumEstimator('PowerUnits','dBm',... 'Method','Filter bank','FrequencyRange','onesided',... 'SpectralAverages',numAvgs,'SampleRate',Fs); spectrumPlotter = dsp.SpectrumAnalyzer('InputDomain','Frequency',... 'SampleRate',Fs,... 'SpectrumUnits','dBm','YLimits',[-120,40],... 'PlotAsTwoSidedSpectrum',false,... 'ChannelNames',{'Hann window','Filter bank'},'ShowLegend',true);

**Streaming**

Stream the input. Compare the spectral estimates in the spectrum analyzer.

for i = 1:1000 x = sum(sinegen(),2) + sqrt(NoiseVar)*randn(FrameSize,1); Pse_hann = hannEstimator(x); Pfb = filterBankEstimator(x); spectrumPlotter([Pse_hann,Pfb]) end

### Obtain Measurement Data Programmatically for `dsp.SpectrumAnalyzer`

System object

Compute and display the power spectrum of a noisy sinusoidal input
signal using the `dsp.SpectrumAnalyzer`

System object. Measure the peaks, cursor placements, adjacent channel power ratio, and
distortion in the spectrum by enabling the following properties:

`PeakFinder`

`CursorMeasurements`

`ChannelMeasurements`

`DistortionMeasurements`

**Initialization**

The input sine wave has two frequencies: 1000 Hz and 5000 Hz. Create two
`dsp.SineWave`

System objects to generate these two frequencies.
Create a `dsp.SpectrumAnalyzer`

System object to compute and display
the power spectrum.

Fs = 44100; Sineobject1 = dsp.SineWave('SamplesPerFrame',1024,... 'PhaseOffset',10,... 'SampleRate',Fs,'Frequency',1000); Sineobject2 = dsp.SineWave('SamplesPerFrame',1024,... 'SampleRate',Fs,'Frequency',5000); SA = dsp.SpectrumAnalyzer('SampleRate',Fs,'Method','Filter bank',... 'SpectrumType','Power','PlotAsTwoSidedSpectrum',false,... 'ChannelNames',{'Power spectrum of the input'},... 'YLimits',[-120 40],'ShowLegend',true);

**Enable Measurements Data**

To obtain the measurements, set the `Enable`

property of the
measurements to `true`

.

SA.CursorMeasurements.Enable = true; SA.ChannelMeasurements.Enable = true; SA.PeakFinder.Enable = true; SA.DistortionMeasurements.Enable = true;

**Use ****getMeasurementsData**

Stream in the noisy sine wave input signal and estimate the power spectrum of the
signal using the spectrum analyzer. Measure the characteristics of the spectrum. Use the
`getMeasurementsData`

function to obtain these measurements
programmatically. The `isNewDataReady`

function indicates when there is
new spectrum data. The measured data is stored in the variable
`data`

.

data = []; for Iter = 1:1000 Sinewave1 = Sineobject1(); Sinewave2 = Sineobject2(); Input = Sinewave1 + Sinewave2; NoisyInput = Input + 0.001*randn(1024,1); SA(NoisyInput); if SA.isNewDataReady data = [data;getMeasurementsData(SA)]; end end

The right side of the spectrum analyzer shows the enabled measurement panes. The
values shown in these panes match with the values shown in the last time step of the
`data`

variable. You can access the individual fields of
`data`

to obtain the various measurements programmatically.

**Compare Peak Values**

Peak values are obtained by the `PeakFinder`

property. Verify that
the peak values obtained in the last time step of `data`

match the
values shown on the spectrum analyzer plot.

peakvalues = data.PeakFinder(end).Value

`peakvalues = `*3×1*
26.9851
24.1735
-51.1973

frequencieskHz = data.PeakFinder(end).Frequency/1000

`frequencieskHz = `*3×1*
4.9957
0.9905
0.2369

## Tips

To close the scope window and clear its associated data, use the MATLAB

`clear`

function.To hide or show the scope window, use the

`hide`

and`show`

functions.Use the MATLAB

`mcc`

function to compile code containing a Spectrum Analyzer.You cannot open Spectrum Analyzer configuration dialog boxes if you have more than one compiled component in your application.

## Algorithms

### Spectrum Estimation — Filter Bank

When you choose the `Filter Bank`

method, the Spectrum Analyzer uses an analysis filter bank to estimate the power spectrum.

The filter bank splits the broadband input signal *x(n)*, of sample rate *fs*, into multiple narrow band signals *y _{0}(m)*,

*y*, … ,

_{1}(m)*y*, of sample rate

_{M-1}(m)*fs/M*.

The variable *M* represents the number of frequency bands in the filter bank. In the Spectrum Analyzer, *M* is equal to the number of data points needed to achieve the specified RBW value or 1024, whichever is larger. For more information on the analysis filter bank and its implementation, see the More About and the Algorithm sections in `dsp.Channelizer`

.

After the Spectrum Analyzer splits the broadband input signal into multiple narrow bands, it computes the power in each narrow frequency band using the following equation. Each *Z _{i}* value is the power estimate over that narrow frequency band.

$${Z}_{i}=\frac{1}{L}{\displaystyle \sum _{m=0}^{L-1}{\left|{y}_{i}[m]\right|}^{2}}$$

*L* is length of the narrowband signal *y _{i}(m)* and

*i*= 1, 2, …,

*M*−1.

The power values in all the narrow frequency bands (denoted by *Z _{i}*) form the

*Z*vector.

$$Z=[{Z}_{0},\text{\hspace{0.17em}}{Z}_{1},\text{\hspace{0.17em}}{Z}_{2},\cdots ,{Z}_{M-1}]$$

The Spectrum Analyzer averages the current *Z* vector with the previous *Z* vectors using one of the two moving average methods: video bandwidth or exponential weighting. The output of the averaging operation forms the spectral estimate vector. For details on the two averaging methods, see Averaging Method.

The Spectrum Analyzer uses the value you specify in the **RBW (Hz)** to determine the input frame length. To view the **RBW (Hz)** in the scope, click the **Analyzer** tab on the Spectrum Analyzer toolstrip and navigate to the **Bandwidth** section.

Spectrum Analyzer requires a minimum number of samples to compute a spectral estimate. This value is directly related to the resolution bandwidth property **RBW (Hz)**.

When you set **RBW (Hz)** to:

`Auto`

–– The Spectrum Analyzer requires 1024 samples to update the display. The Spectrum Analyzer determines the appropriate resolution bandwidth to ensure that there are 1024 RBW intervals over the specified frequency span. When you set**RBW (Hz)**to`Auto`

, the Spectrum Analyzer calculates using this equation.$$RB{W}_{auto}=\frac{span}{1024}$$

scalar value –– The Spectrum Analyzer calculates the number of samples

*N*using this equation._{samples}$${N}_{samples}=\frac{{F}_{s}}{RBW}$$

*F*is the sample rate of the input signal as specified in the_{s}**Sample Rate (Hz)**property. To view the**Sample Rate (Hz)**in the scope, click the**Analyzer**tab on the Spectrum Analyzer toolstrip and navigate to the**Bandwidth**section.When you specify a resolution bandwidth using the

**RBW (Hz)**parameter, you must specify a value such that there are at least two RBW intervals over the specified frequency span. The ratio of the overall span to RBW must be greater than two:$$\frac{span}{RBW}>2$$

*span* is the frequency span over which the Spectrum Analyzer computes and plots the spectrum. To view the **Span (Hz)** in the scope, click the **Estimation** tab on the Spectrum Analyzer toolstrip and navigate to the **Frequency Options** section. To enable this property, set **Frequency Span** to `Span and Center Frequency`

.

When the number of input samples is not sufficient to achieve the specified resolution bandwidth, the Spectrum Analyzer displays a message similar to this one.

The Spectrum Analyzer removes this message and displays a spectral estimate once you provide enough input samples.

### Spectrum Estimation — Welch's Method

When you choose the `Welch`

method, the power spectrum estimate is averaged modified periodograms.

Given the input signal `x`

, the Spectrum Analyzer:

Multiplies

`x`

by the given window and scales the result by the window power. The Spectrum Analyzer uses the**RBW (Hz)**to determine the input frame length. To view the**RBW (Hz)**in the scope, click the**Analyzer**tab on the Spectrum Analyzer toolstrip and navigate to the**Bandwidth**section.Computes the FFT of the signal,

`Y`

, and then calculates the square magnitude using`Z = Y.*conj(Y)`

.Computes the current power spectrum estimate by calculating the moving average of the last

*N*number of*Z*vectors, and then scales the answer by the sample rate. For more information on the moving average methods, see Averaging Method.

**Number of Samples Per Update (**

*N*)_{samples}The Spectrum Analyzer requires a minimum number of samples to compute a spectral estimate. This value is directly related to resolution bandwidth (RBW).

$${N}_{samples}=\frac{\left(1-\frac{{O}_{p}}{100}\right)\times NENBW\times {F}_{s}}{RBW}$$

where O_{p} is the overlap percentage, NENBW is the
normalized effective noise bandwidth, F_{s} is the input sample rate, and RBW is the
resolution bandwidth.

The Spectrum Analyzer shows the number of samples per update in the Spectrum Analyzer status bar.

You can enable `Samples/Update`

in the status bar only when you set
**Input Domain** to `Time`

and
**Method** to `Welch`

in the
**Estimation** tab on the Spectrum Analyzer toolstrip.

**Normalized Effective Noise Bandwidth (NENBW)**

The normalized effective noise bandwidth *NENBW* is a window parameter that
measures the noise performance of the window. NENBW is determined using the window
length and the window coefficients, and is given by the following equation:

$$NENBW={N}_{window}\times \frac{{\displaystyle \sum _{n=1}^{{N}_{window}}{w}^{2}(n)}}{{\left[{\displaystyle \sum _{n=1}^{{N}_{window}}w(n)}\right]}^{2}}$$

*w*(*n*) denotes the vector of window coefficients
(calculated internally). *N _{window}* is the
window length the Spectrum Analyzer needs to compute one spectral update, and is
directly related to the resolution bandwidth and normalized effective noise
bandwidth.

$${N}_{window}=\frac{NENBW\times {F}_{s}}{RBW}$$

The rectangular window has the smallest NENBW, with a value of 1. All other windows have a larger NENBW value. For example, the Hann window has an NENBW value of approximately 1.5.

The Spectrum Analyzer shows the value of *NENBW* in the Spectrum Analyzer
status bar.

You can enable `NENBW`

only when you set **Input Domain** to `Time`

and **Method** to `Welch`

in the **Estimation** tab on the Spectrum Analyzer toolstrip.

**Overlap Percentage (**

*O*)_{p}The overlap percentage *O _{p}* is the value you specify in the

**Overlap %**property. To view the

**Overlap %**in the scope, click the

**Estimation**tab on the Spectrum Analyzer toolstrip and navigate to the

**Window Options**section.

When you increase the overlap percentage, the Spectrum Analyzer needs fewer new input samples to compute a new spectral update.

O_{p} | N_{samples} |
---|---|

0% | 100 |

50% | 50 |

80% | 20 |

**Input Sample Rate (**

*Fs*)*F _{s}* is the sample rate of the input signal. To view the

**Sample Rate (Hz)**in the scope, click the

**Analyzer**tab on the Spectrum Analyzer toolstrip and navigate to the

**Bandwidth**section. You can enable this property in the status bar at the bottom of the Spectrum Analyzer window. Right-click the status bar and select

`Sample Rate`

.**Resolution Bandwidth (RBW)**

Resolution bandwidth controls the spectral resolution of the displayed signal. The RBW value determines the spacing between frequencies that can be resolved. A smaller value gives a higher spectral resolution and lowers the noise floor. That is, the Spectrum Analyzer can resolve frequencies that are closer to each other. However, this comes at the cost of a longer sweep time.

You can set the resolution bandwidth through the **RBW (Hz)** property. To view the **RBW (Hz)** in the scope, click the **Analyzer** tab on the Spectrum Analyzer toolstrip and navigate to the **Bandwidth** section.

When you set **RBW (Hz)** to:

`Auto`

–– The Spectrum Analyzer requires 1024 samples to update the display. The Spectrum Analyzer determines the appropriate resolution bandwidth to ensure that there are 1024 RBW intervals over the specified frequency span. When you set**RBW (Hz)**to`Auto`

, the Spectrum Analyzer calculates using this equation.$$RB{W}_{auto}=\frac{span}{1024}$$

scalar value –– Specify a value such that there are at least two RBW intervals over the specified frequency span. The ratio of the overall span to RBW must be greater than two:

$$\frac{span}{RBW}>2$$

*span* is the frequency span over which the Spectrum Analyzer computes and plots the spectrum. Spectrum Analyzer shows the span through the **Span (Hz)** property. To view the **Span (Hz)** in the scope, click the **Estimation** tab on the Spectrum Analyzer toolstrip, navigate to the **Frequency Options** section, and set **Frequency Span** to `Span and Center Frequency`

.

When the number of input samples is not sufficient to achieve the specified resolution bandwidth, the Spectrum Analyzer displays a message similar to this one:

The Spectrum Analyzer removes this message and displays a spectral estimate once you provide enough input samples.

You can enable this property in the status bar at the bottom of the Spectrum Analyzer window. Right-click the status bar and select `RBW`

.

### Nyquist Frequency Interval

When you plot the two-sided spectrum by selecting **Two-Sided Spectrum** in
the **Spectrum** tab or the **Spectrogram** tab, the
Nyquist frequency interval is $$\left[-\frac{SampleRate}{2},\frac{SampleRate}{2}\right]+FrequencyOffset$$ Hz.

When you clear the **Two-Sided Spectrum**, the Nyquist frequency interval is $$\left[0,\frac{SampleRate}{2}\right]+FrequencyOffset$$ Hz.

### Periodogram and Spectrogram

The Spectrum Analyzer calculates and plots the power spectrum, power spectrum density, and RMS using the modified *Periodogram* estimator. For more information about the Periodogram method, see `periodogram`

.

Power Spectral Density — The power spectral density (PSD) is given by this equation.

$$\mathrm{PSD}\left(f\right)=\frac{1}{P}{\displaystyle \sum _{p=1}^{P}\frac{{\left|{\displaystyle \sum _{n=1}^{{N}_{FFT}}{x}^{p}\left[n\right]{e}^{-j2\pi f(n-1)T}}\right|}^{2}}{{F}_{s}\times {\displaystyle \sum _{n=1}^{{N}_{window}}{w}^{2}\left[n\right]}}}$$

In this equation, *x*[*n*] is the discrete input signal. The Spectrum Analyzer generates as many overlapping windows as possible in every input signal frame, with each window denoted as *x ^{(p)}*[

*n*], and then computes their periodograms. The Spectrum Analyzer displays a running average of the

*P*most current periodograms.

Power Spectrum — The power spectrum is the product of the power spectral density and the resolution bandwidth, as given by this equation.

$${P}_{spectrum}\left(f\right)=\mathrm{PSD}\left(f\right)\times RBW=\mathrm{PSD}\left(f\right)\times \frac{{F}_{s}\times NENBW}{{N}_{window}}=\frac{1}{P}{\displaystyle \sum _{p=1}^{P}\frac{{\left|{\displaystyle \sum _{n=1}^{{N}_{FFT}}{x}^{p}\left[n\right]{e}^{-j2\pi f(n-1)T}}\right|}^{2}}{{\left[{\displaystyle \sum _{n=1}^{{N}_{window}}w\left[n\right]}\right]}^{2}}}$$

Spectrogram — You can plot any power as a spectrogram. Each line of the spectrogram is one periodogram. The time resolution of each line is 1/*RBW*, which is the minimum attainable resolution. Achieving the resolution you want may require combining several periodograms. You then use interpolation to calculate noninteger values of 1/*RBW*. In the spectrogram display, time scrolls from top to bottom, so the most recent data is shown at the top of the display. The offset shows the time value at which the center of the most current spectrogram line occurred.

### Frequency Vector

When you set **Frequency (Hz)** to `Auto`

, the software calculates the frequency vector for the frequency-domain input.

When you plot the two-sided spectrum by selecting **Two-Sided Spectrum** in
the **Spectrum** tab or the **Spectrogram** tab, the
frequency vector is:

$$\left[-\frac{SampleRate}{2},\frac{SampleRate}{2}\right]$$

When you clear the **Two-Sided Spectrum**, the frequency vector is:

$$\left[0,\frac{SampleRate}{2}\right]$$

### Occupied BW

The Spectrum Analyzer calculates *Occupied BW* using these steps.

Calculate the total power in the measured frequency range.

Determine the lower frequency value. Starting at the lowest frequency in the range and moving upward, sum the power distributed in each frequency until the result is

$$\frac{100-OccupiedBW\%}{2}$$

of the total power.

Determine the upper frequency value. Starting at the highest frequency in the range and moving downward, sum the power distributed in each frequency until the result reaches

$$\frac{100-OccupiedBW\%}{2}$$

of the total power.

The bandwidth between the lower and upper power frequency values is the occupied bandwidth.

The frequency halfway between the lower and upper frequency values is the center frequency.

### Distortion Measurements

The Spectrum Analyzer calculates *Distortion Measurements* using these steps.

Estimate spectral content by finding peaks in the spectrum. When the algorithm detects a peak, it records the width of the peak and clears all monotonically decreasing values. That is, the algorithm treats all these values as if they belong to the peak. Using this method, the algorithm removes all spectral content centered at DC (0 Hz) from the spectrum and records the amount of bandwidth cleared (

*W*)._{0}Determine the fundamental power (

*P*) from the remaining maximum value of the displayed spectrum. Create a local estimate (_{1}*Fe*) of the fundamental frequency by computing the central moment of the power near the peak. Record the bandwidth of the fundamental power content (_{1}*W*). Then remove the power from the fundamental as in step 1._{1}Determine the power and width of the higher-order harmonics (

*P*,_{2}*W*,_{2}*P*,_{3}*W*, etc.) in succession by examining the frequencies closest to the appropriate multiple of the local estimate (_{3}*Fe*). Remove any spectral content that decreases monotonically about the harmonic frequency from the spectrum before proceeding to the next harmonic._{1}After removing the DC, fundamental, and harmonic content from the spectrum, examine the power of the remaining spectrum for its sum (

*P*), peak value (_{remaining}*P*), and median value (_{maxspur}*P*)._{estnoise}Compute the sum of all the removed bandwidth as

*W*=_{sum}*W*+_{0}*W*+_{1}*W*+...+_{2}*W*._{n}Compute the sum of powers of the second and higher-order harmonics as

*P*=_{harmonic}*P*+_{2}*P*+_{3}*P*+...+_{4}*P*._{n}Estimate the sum of the noise power as:

$${P}_{noise}=({P}_{remaining}\cdot dF+{P}_{est.noise}\cdot {W}_{sum})/RBW$$

Where

*dF*is the absolute difference between frequency bins, and*RBW*is the resolution bandwidth of the window.Then compute the metrics for SNR, THD, SINAD, and SFDR from the estimates.

$$\begin{array}{l}THD=10\cdot {\mathrm{log}}_{10}\left(\frac{{P}_{harmonic}}{{P}_{1}}\right)\\ SINAD=10\cdot {\mathrm{log}}_{10}\left(\frac{{P}_{1}}{{P}_{harmonic}+{P}_{noise}}\right)\\ SNR=10\cdot {\mathrm{log}}_{10}\left(\frac{{P}_{1}}{{P}_{noise}}\right)\\ SFDR=10\cdot {\mathrm{log}}_{10}\left(\frac{{P}_{1}}{\mathrm{max}\left({P}_{maxspur},\mathrm{max}\left({P}_{2},{P}_{3},\mathrm{...},{P}_{n}\right)\right)}\right)\end{array}$$

### Harmonic Measurements

The harmonic distortion measurements use the spectrum trace shown in the display as the input to the measurements. The default

`Hann`

window setting of the Spectrum Analyzer might exhibit leakage that can completely mask the noise floor of the measured signal.The harmonic measurements attempt to correct for leakage by ignoring all frequency content that decreases monotonically away from the maximum of harmonic peaks. If the window leakage covers more than 70% of the frequency bandwidth in your spectrum, you may see a blank reading (–) reported for

**SNR**and**SINAD**. If your application can tolerate the increased equivalent noise bandwidth (ENBW), consider using a Kaiser window with a high attenuation (up to 330 dB) to minimize spectral leakage.Ignore the DC component.

After windowing, the width of each harmonic component masks the noise power in the neighborhood of the fundamental frequency and harmonics. To estimate the noise power in each region, the Spectrum Analyzer computes the median noise level in the nonharmonic areas of the spectrum. It then extrapolates that value into each region.

*N*^{th}order intermodulation products occur at*A***F1*+*B***F2*,where

*F1*and*F2*are the sinusoid input frequencies and |*A*| + |*B*| =*N*.*A*and*B*are integer values.For intermodulation measurements, compute the third-order intercept (TOI) point as follows.

*TOI*=_{lower}*P*+ (_{F1}*P*-_{F2}*P*)/2_{(2F1-F2)}*TOI*=_{upper}*P*+ (_{F2}*P*-_{F1}*P*)/2_{(2F2-F1)}*TOI*= + (*TOI*+_{lower}*TOI*)/2_{upper}

Where

*P*is power in decibels of the measured power referenced to 1 milliwatt (dBm).

### Averaging Method

The Spectrum Analyzer can calculate the moving average using two methods:

Video bandwidth — The Spectrum Analyzer uses a time-domain lowpass filter to smooth the noise in the signal. The video bandwidth (VBW) filter smoothes the trace and decreases noise, and the Spectrum Analyzer applies the filter to the data before displaying it.

Video bandwidth is the bandwidth of a lowpass filter that is used to average or smooth the noise in the signal before it is displayed on the Spectrum Analyzer. Video bandwidth does not affect the level of the noise (noise floor), but only increases the signal-to-noise ratio and smoothes the trace of the noise.

When you decrease the value of VBW, the signal-to-noise ratio improves.

The cutoff frequency of the video bandwidth filter is given by:

$${\omega}_{c}=\frac{2\pi VBW}{{F}_{s}/NFFT}$$

where

*Fs*is the input sample rate and NFFT is the number of FFT points.The Spectrum Analyzer shows the values of sample rate, VBW, and NFFT in the status bar at the bottom of the display. To enable, right-click the status bar and select

`Sample Rate`

,`VBW`

, and`NFFT`

.Exponential — The moving average algorithm uses the exponential weighting method to update the weights and compute the moving average recursively for each

*Z*vector that comes in by using the following recursive equations:$$\begin{array}{l}{w}_{N}=\lambda {w}_{N-1}+1\\ {\overline{z}}_{N}=\left(1-\frac{1}{{w}_{N}}\right){\overline{z}}_{N-1}+\left(\frac{1}{{w}_{N}}\right){z}_{N}\end{array}$$

λ — Forgetting factor

$${w}_{N}$$ — Weighting factor applied to the current

*Z*vector$${z}_{N}$$ — Current

*Z*vector$${\overline{z}}_{N-1}$$ — Moving average until the previous

*Z*vector$$\left(1-\frac{1}{{w}_{N}}\right){\overline{z}}_{N-1}$$ — Effect of the previous

*Z*vectors on the average$${\overline{z}}_{N}$$ — Moving average including the current

*Z*vector

## Extended Capabilities

### C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

Supports MEX code generation by treating the calls to the object as extrinsic. Does not support code generation for standalone applications.

See System Objects in MATLAB Code Generation (MATLAB Coder).

## Version History

**Introduced in R2012b**

### R2022a: `dsp.SpectrumAnalyzer`

System object will be removed

The `dsp.SpectrumAnalyzer`

System object will be removed in a future release. Use the `spectrumAnalyzer`

object instead.

**Update Code**

The `spectrumAnalyzer`

object has the same properties as the
`dsp.SpectrumAnalyzer`

object. However, the default value of the
`Method`

property has changed to `'filter-bank'`

, and
the default value of the `AveragingMethod`

property has changed to
`'vbw'`

, which is video bandwidth.

No updates to your code are required except for:

Replacing instances of

`dsp.SpectrumAnalyzer`

with`spectrumAnalyzer`

.Updating the values of

`Method`

and`AveragingMethod`

properties, if required.

This table shows how the System object is typically used and explains how to update existing code to use the
`spectrumAnalyzer`

object.

Discouraged Usage | Recommended Replacement |
---|---|

sa = dsp.SpectrumAnalyzer dsp.SpectrumAnalyzer with properties: NumInputPorts: 1 InputDomain: 'Time' SpectrumType: 'Power' ViewType: 'Spectrum' SampleRate: 10000 Method: 'Welch' PlotAsTwoSidedSpectrum: 1 FrequencyScale: 'Linear' Advanced FrequencySpan: 'Full' FrequencyResolutionMethod: 'RBW' RBWSource: 'Auto' OverlapPercent: 0 Window: 'Hann' SpectrumUnits: 'dBm' AveragingMethod: 'Running' SpectralAverages: 1 ReferenceLoad: 1 FrequencyOffset: 0 |
The
To retain the same default
behavior as the sa = spectrumAnalyzer(Method="welch",AveragingMethod="exponential") spectrumAnalyzer with properties: InputDomain: 'time' SpectrumType: 'power' ViewType: 'spectrum' SampleRate: 10000 Method: 'welch' PlotAsTwoSidedSpectrum: 1 FrequencyScale: 'linear' PlotType: 'line' AxesScaling: 'auto' Advanced RBWSource: 'auto' FrequencySpan: 'full' OverlapPercent: 0 Window: 'hann' AveragingMethod: 'exponential' ForgettingFactor: 0.9000 SpectrumUnits: 'dBm' ReferenceLoad: 1 FrequencyOffset: 0 |

Display
spectrum data on the Spectrum Analyzer using the
swv = dsp.SineWave(Frequency=100,SampleRate=1000); swv.SamplesPerFrame = 1000; san = dsp.SpectrumAnalyzer(SampleRate=swv.SampleRate); data = []; for ii = 1:250 x = swv() + 0.05*randn(1000,1); san(x); if san.isNewDataReady data = [data;getSpectrumData(san)]; end end release(san); |
Display
spectrum data on the Spectrum Analyzer using the swv = dsp.SineWave(Frequency=100,SampleRate=1000); swv.SamplesPerFrame = 1000; san = spectrumAnalyzer(SampleRate=swv.SampleRate,... Method="welch",AveragingMethod="exponential"); data = []; for ii = 1:250 x = swv() + 0.05*randn(1000,1); san(x); if san.isNewDataReady data = [data;getSpectrumData(san)]; end end release(san); |

### R2022a: CCDF measurements will be removed from the `dsp.SpectrumAnalyzer`

object

The `CCDFMeasurements`

property will be removed from the `dsp.SpectrumAnalyzer`

object. If you try to edit these measurements from the
command line or from the user interface (UI), the object throws a warning message.

Use the `powermeter`

object
instead to plot and visualize the CCDF measurements.

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