Designand Comparison Between IIR Butterwoth and Chebyshev Digital Filters Using Matlab

Sushant Bakshi, I. Javid, M. Rajoriya, S. Naz, Pallavi Gupta, Mohit Sahni, Munendra Singh
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引用次数: 2

Abstract

Digital filters are one of the most fundamental and cardinal components in the area of digital signal processing. They eliminate either partially or completely the noise or other undesirable components present in the signal. In this paper we have designed and studied the IIR filters using Butterworth and Chebyshev algorithms, and compared them with each other for further analysis. The requisite parameters for designing IIR filters are pass band frequency, sampling frequency, pass band ripples and stop band ripples. We have used MATLAB Simulink and filter design and analysis (FDA) tool which gives accurate pole zero plot to verify the stability of system (filter).
基于Matlab的IIR butterworth和Chebyshev数字滤波器的设计与比较
数字滤波器是数字信号处理领域中最基本、最重要的组成部分之一。它们部分或完全消除信号中存在的噪声或其他不需要的成分。本文采用Butterworth算法和Chebyshev算法设计和研究了IIR滤波器,并对它们进行了比较,以便进一步分析。设计IIR滤波器的必要参数是通带频率、采样频率、通带纹波和阻带纹波。我们使用MATLAB Simulink和滤波器设计与分析(FDA)工具,给出了准确的极点零点图来验证系统(滤波器)的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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