Filter Implementation

Single-rate, multirate, and adaptive filters

DSP System Toolbox™ provides filter blocks and System objects that enable you to filter a streaming signal in MATLAB^® and Simulink^®. In addition to the conventional FIR and IIR filters, this toolbox also provides specialized filters such as multirate multistage filters, wave digital filters, and Farrow filters.

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Featured Examples

Multistage Rate Conversion

Design multistage rate conversion filters.

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Multistage Rate Conversion Using FIR Rate Converter

Compare multistage rate conversion with single stage rate conversion using the dsp.FIRRateConverter object.

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Time Delay and Scaling in Multirate DSP Filters

Effect of time delay and scaling in multirate filters. Use outputDelay function to calculate the time delay and scaling.

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Overlap-Add/Save

Filter a sinusoid with the Overlap-Add and Overlap-Save FFT methods using the Frequency-Domain FIR filter block.

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IF Subsampling with Complex Multirate Filters

Use complex multirate filters in the implementation of Digital Down-Converters (DDC). The DDC is a key component of digital radios. It performs the frequency translation necessary to convert the high input sample rates typically found at the output of an analog-to-digital (A/D) converter down to lower sample rates for further and easier processing. In this example, we will see how an audio signal modulated with a 450 kHz carrier frequency can be brought down to a 20 kHz sampling frequency. After a brief review of the conventional DDC architecture, we will describe an alternative solution known as Intermediate Frequency (IF) subsampling and we will compare the respective implementation cost of these two solutions. This example requires a Fixed-Point Designer™ license.

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Apply Adaptive Noise Canceling to Fetal Electrocardiography

Apply adaptive filters to noise removal using adaptive noise canceling (ANC) in fetal electrocardiography.

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