Analysis and comparison of RLS adaptive filter in signal De-noising

Author

Xing, GuoQuan ; ZHang, YuXia

Author_Institution

Dept. of Biomed. Eng., Xianning Coll., Xianning, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

5754

Lastpage

5758

Abstract

In the field of digital signal processing, only adaptive filter can deal with some random signal, noise or the time-varying signal. The adaptive filter can track the changes of the signal and noise so as to realize optimal filtering. This paper introduces the structure and principle of adaptive filters. Recursive Least Square (RLS) Algorithm, presents the implementation of simulation in the software simulator of a 32-order adaptive filter which is designed in MATLAB environment. The emulational result shows that the 32-order adaptive filter can remove the noise very well.

Keywords

adaptive filters; digital simulation; least squares approximations; signal denoising; 32-order adaptive filter; MATLAB environment; RLS adaptive filter; digital signal processing; optimal filtering; recursive least square algorithm; signal denoising; software simulator; Adaptive filters; Filtering algorithms; Filtering theory; Finite impulse response filter; IIR filters; Low pass filters; Transversal filters; RLS Algorithm; adaptive filter; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057749

Filename

6057749