微型机与应用Issue(21)：16-20,5.
基于MATLAB与DSP的自适应滤波器设计与实现
Design and implementation of self-adapting filter based on MATLAB and DSP
摘要
Abstract
The filtering is a technology to filter the waveform of some certain frequencies. In digital signal processing , the filtering is mainly used to filter noise and interference signals. Because of the uncertainty of noise and interference signal , using the digital filter of fixed filter coefficients can′t achieve the best effect. However, the self-adapting filter can change its parameters and structure with the change of the environments which can accommodate to the changing noise and interference signals so as to realize the ideal filter. After studying the Least Mean Square algorithm (here referred as LMS), as well as analyzing the structure and principle the of the self-adapting filter, the paper designed a self-adapting filter of FIR structure. In the end, it gave the MATLAB simulation results, and used DSP to test the performance of the new design.关键词
自适应滤波器/MATLAB/LMS 算法/FIR 滤波器/DSPKey words
adaptive filter/MATLAB/LMS algorithm/FIR filter/DSP分类
电子信息工程引用本文复制引用
杨娜,杨神化,郑敏杰..基于MATLAB与DSP的自适应滤波器设计与实现[J].微型机与应用,2015,(21):16-20,5.基金项目
福建省高等学校新世纪优秀人才支持计划项目（ JA12181）；国家自然科学基金资助项目 （）
