Digital Signal Processing: Design of Various Filters

In this text, we introduce digital signal processing and the design of various filters. Our junior-year course project in Electronic Information Engineering at Central South University provides complete source code implementations (including MATLAB/Python examples for filter design algorithms) and detailed lab reports available for download. These resources feature practical implementations of FIR filters using windowing methods (Hamming, Hanning), IIR filter design via bilinear transformation, frequency response analysis using FFT algorithms, and filter coefficient calculation methods. Whether you're a beginner learning basic convolution operations or an advanced student studying pole-zero placement and stability analysis, these materials will enhance your understanding of DSP concepts. The code includes commented functions for filter design, frequency response plotting, and real-time signal processing simulations. Feel free to download and utilize these resources - they may add valuable practical dimension to your learning journey!