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

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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

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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 digital signal and translate it 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 Concepts
Explore basic signal concepts in the context of a Simulink^® model. Learn more about sample-based processing and frame-based processing.
Compare Speed Performance in Frame-Based Processing Mode Using Simulink Profiler
Process signals using frame-based processing and compare the performance using Simulink profiler.
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.
Delay and Latency
Configure the Simulink environment to minimize delay and increase simulation performance.
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

Design digital fractional delay filters that are implemented using Farrow structures. Digital fractional delay filters are useful tools to fine-tune the sampling instants of signals. They are for example typically found in the synchronization of digital modems where the delay parameter varies over time. This example illustrates the Farrow structure, 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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