Summary

This article explains decimation and interpolation using both classical and polyphase realizations, emphasizing practical design choices and computational savings. It demonstrates concepts through numerous MATLAB and Simulink simulations so readers can reproduce, experiment with, and extend the examples for audio, communications, or radar resampling tasks.

Key Takeaways

• Design polyphase FIR decimators and interpolators that reduce computation compared with straightforward implementations.
• Apply MATLAB/Simulink examples to simulate aliasing, imaging, and verify filter responses for different resampling ratios.
• Use multistage and noble-identity techniques to split high-ratio resampling into efficient stages.
• Optimize filter order and structure for a given stopband attenuation and implementation cost.
• Adapt simulations to test practical issues such as coefficient quantization and real-time constraints.

Who Should Read This

Intermediate DSP engineers, researchers, or graduate students who use MATLAB/Simulink and want practical guidance to implement efficient resampling (decimation/interpolation) in audio, communications, or radar systems.

Still RelevantIntermediate

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