经典滤波器的MATLAB仿真及设计原理详解

d to suppress other unwanted frequency band signals. As an important part of signal processing, filters have been quite mature. Filters can be divided into two main categories: classical filters and modern filters. This article focuses on the MATLAB simulation of classic filters. Digital filters are an important part of digital signal processing, and can be divided into two categories: Infinite Impulse Response (IIR) filters and Finite Impulse Response (FIR) filters. This article first introduces the filtering principles, focusing on the basic design principles of IIR filters and FIR filters. It also explains how to convert analog filters into digital filters in the MATLAB environment, and provides design examples and simulation results. By analyzing the results of the program, the differences between analog and digital filters, as well as between IIR and FIR filters, are discussed and compared with real production to draw their respective advantages and disadvantages. Keywords: filter, analog filter, digital filter, MATLAB. In conclusion, this article provides a comprehensive overview of classic filter simulation in MATLAB. It covers the fundamental principles of filtering, the design principles of IIR and FIR filters, and the process of converting analog filters into digital filters using MATLAB. The analysis of simulation results allows for a better understanding of the differences between analog and digital filters, as well as between IIR and FIR filters. This insight is valuable for assessing the advantages and disadvantages of each filter type in practical applications. The MATLAB simulation presented in this article serves as a useful tool for engineers and researchers working in the field of signal processing.