Signal Operations

Delay, reorder, resample, and window the signal

You can perform signal operations such as rate conversion, convolution, digital-up and digital-down conversion, phase extraction, DC component removal, peak location, signal padding, and delay addition using blocks and System objects from DSP System Toolbox™.

Objekte

alle erweitern

Rate Conversion

`dsp.DigitalDownConverter`	Translate digital signal from intermediate frequency (IF) band to baseband and decimate it
`dsp.DigitalUpConverter`	Interpolate digital signal and translate it from baseband to IF band
`dsp.FarrowRateConverter`	Polynomial sample rate converter with arbitrary conversion factor
`dsp.SampleRateConverter`	Multistage sample rate converter

Signal Operation

`dsp.DCBlocker`	Block DC component (offset) from input signal
`dsp.PhaseExtractor`	Extract the unwrapped phase of a complex input
`dsp.PhaseUnwrapper`	Unwrap signal phase
`dsp.ZeroCrossingDetector`	Detect zero crossings

Delay

`dsp.Delay`	Delay input signal by fixed samples
`dsp.VariableFractionalDelay`	Delay input by time-varying fractional number of sample periods
`dsp.VariableIntegerDelay`	Delay input by time-varying integer number of sample periods

Blöcke

alle erweitern

Rate Conversion

Downsample	Resample input at lower rate by deleting samples
Digital Down-Converter	Translate digital signal from intermediate frequency (IF) band to baseband and decimate it
Digital Up-Converter	Interpolate and translate digital signal from baseband to intermediate frequency (IF) band
Farrow Rate Converter	Polynomial sample-rate converter with arbitrary conversion factor
Interpolation	Interpolate values of real input samples
Repeat	Resample input at higher rate by repeating values
Sample and Hold	Sample and hold input signal
Sample-Rate Converter	Multistage sample-rate conversion
Upsample	Resample input at higher rate by inserting zeros

Signal Operations

Convolution	Convolution of two inputs
DC Blocker	Block DC component
Detrend	Remove linear trend from vectors
Offset	Truncate vectors by removing or keeping beginning or ending values
Pad	Pad or truncate specified dimension(s)
Peak Finder	Determine whether each value of input signal is local minimum or maximum
Phase Extractor	Extract the unwrapped phase of a complex input
Unwrap	Unwrap signal phase
Window Function	Compute and apply window to input signal
Zero Crossing	Count number of times signal crosses zero in single time step

Delay

Variable Integer Delay	Delay input signal by fixed or variable sample periods
Variable Fractional Delay	Delay input by time-varying fractional number of sample periods

Themen

Sample- and Frame-Based Processing

Sample- and Frame-Based Concepts
Explore basic signal concepts in the context of a Simulink^® model. Learn more about sample-based processing and frame-based processing.
Inspect Sample and Frame Rates in Simulink
Understand sample time, sample rate, frame period, and frame rate in the context of a Simulink model. Determine the sample and frame rates of signals in your model.
Convert Sample and Frame Rates in Simulink Using Rate Conversion Blocks
Learn how direct-rate conversion blocks impact the sample rate and frame rate of signals in Simulink models.
Compare Speed Performance in Frame-Based Processing Mode Using Simulink Profiler
Process signals using frame-based processing and compare the performance using Simulink profiler.

Rate Conversion

Upsample Signal in Single-Rate Frame-Based Processing Mode
Upsample signal in the single-rate processing mode.
Upsample Signal in Multirate Frame-Based Processing Mode
Upsample signal in multirate frame-based processing mode.
Sample and Hold a Signal
Shows the effect of different trigger events on output of the Sample and Hold block.
Repeat Signal in Single-Rate Frame-Based Processing Mode
Repeat the signal in single-rate processing mode.
Repeat Signal in Multirate Frame-Based Processing Mode
Repeat the signal in multirate frame-based processing mode.

Signal Operations

Generate and Apply Hamming Window
Generates and applies a Hamming window using Window Function block.
Unwrap Signal
This model shows basic unwrapping using the Unwrap block.
Convolution of Two Inputs
This model shows how to convolve two vectors using the Convolution block.
Pad or Truncate Matrix with Constant Values
Use the Pad block to pad or truncate constant values to a matrix.
Extract the Phase of Sine Wave
Use the Phase Extractor block to extract the phase of a sine wave signal.
Use DC Blocker to Remove DC Component of Signal
Remove DC component of signal using IIR and Subtract mean estimation algorithms.
DC Blocker with Fixed Point Data
Use DC Blocker block to remove DC offset from fixed-point data.
Truncate Data Vector Using Offset Block
Truncate data vector using Offset block in all the four modes.
Detect Number of Zero Crossings in Signal
Detect number of zero crossings using Zero Crossing block.
Find Peak Values in a Signal
Shows the analysis made by the Peak Finder block while processing an input vector.
Effect of Overflow Mode on Peak Finder Output
Effect of saturate on integer overflow parameter on the Peak Finder output.

Delay and Latency

Delay and Latency
Configure the Simulink environment to minimize delay and increase simulation performance.
Delay Signal Using Multitap Fractional Delay
Concurrently delay an input signal using multiple taps.

Variable-Size Signal Support

Variable-Size Signal Basics (Simulink)
Create a variable-size signal whose size and values can change during a simulation.
Variable-Size Signal Support DSP System Objects
List of System objects that support variable-sized signals in DSP System Toolbox.

Enthaltene Beispiele

Fractional Delay Filters Using Farrow Structures

Use Farrow structures to design digital fractional delay filters. Digital fractional delay filters are useful tools to fine-tune the sampling instants of signals. They are typically found in the synchronization of digital modems where the delay parameter varies over time. This example illustrates why the Farrow structure is a popular method for implementing time-varying FIR fractional delay filters.

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Digital Up and Down Conversion for Family Radio Service in MATLAB

Family Radio Service (FRS) is an improved walkie talkie FM radio system authorized in the United States since 1996. This personal radio service uses channelized frequencies in the ultra high frequency (UHF) band. Devices operating in the FRS band must be authorized under Part 95 Subpart B "Family Radio Service" (Sections 95.191 through 95.194) of the FCC rules. The authorized bandwidth of FRS channels is 12.5 KHz and the center frequency separation between channels is 25 KHz.

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