MATLAB Implementation of Polyphase Filtering for 32-Channel Signal Processing

This implementation showcases polyphase filtering in MATLAB for 32-channel signal processing using a 512-tap filter design. Polyphase filtering is an efficient multirate signal processing technique that performs frequency-domain filtering to eliminate unwanted frequency components while minimizing computational complexity. In this implementation, we utilize MATLAB's signal processing toolbox to design and apply a 512-order polyphase filter across 32 parallel channels. The polyphase decomposition approach enables efficient implementation by breaking down the high-order filter into multiple lower-order subfilters that operate at reduced sampling rates. Key implementation aspects include using MATLAB's `fir1` function for filter design, polyphase decomposition through `tf2late` conversion, and parallel processing across channels using matrix operations. The 512-tap filter provides sharp frequency cutoff characteristics while maintaining linear phase response. This implementation effectively enhances signal quality by improving clarity and accuracy through selective frequency attenuation, making it suitable for applications like channelization, spectrum analysis, and multi-rate communication systems.