"基于MATLAB的数字信号滤波器设计与实现"。

Abstract: Filter design plays a crucial role in digital signal processing, with FIR and IIR filters being important components. Matlab, known for its powerful features and high programming efficiency, especially with its signal analysis toolbox, allows for convenient signal analysis, processing, and design without advanced programming skills. This paper focuses on the design and implementation of noise speech signal processing using Matlab, incorporating theoretical knowledge of digital signal processing to analyze and filter noisy speech signals in the time and frequency domains. FIR digital filters are designed using windowing method, while IIR digital filters are designed using Butterworth, Chebyshev, and bilinear transformation methods. Matlab is utilized as an auxiliary tool to facilitate calculations and graph plotting in the design process. Keywords: digital filters; Matlab; Chebyshev.