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Multi-Decimation Stage Filtering: Design and Optimization

Multi-Decimation Stage Filtering: Design and Optimization

AHMED SHAHEIN
Still RelevantIntermediate

During my research on digital FIR decimation filters I have been developing various Matlab scripts and functions. In which I have decided later on to consolidate it in a form of a toolbox. I have developed this toolbox to assist and...


Summary

Ahmed Shahein consolidates MATLAB scripts into a practical toolbox for designing and optimizing multi-stage FIR decimation filters. The document guides readers through multirate design choices, computational trade-offs, and MATLAB-based examples to evaluate aliasing and frequency response.

Key Takeaways

  • Design multi-stage FIR decimation filters using polyphase decomposition and stage splitting strategies.
  • Optimize decimation stage factors to minimize arithmetic operations and overall filter order.
  • Use provided MATLAB scripts to simulate frequency response, aliasing, and verify stopband attenuation.
  • Evaluate trade-offs between filter order, stopband attenuation, and computational complexity for multirate implementations.
  • Prepare designs for fixed-point implementation by assessing quantization noise and coefficient sensitivity.

Who Should Read This

DSP engineers, signal processing researchers, and graduate students with practical MATLAB experience who design or implement multirate decimators for audio, radar, or communications systems.

Still RelevantIntermediate

Topics

Multirate SystemsFilter DesignMATLAB/Simulink

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