Title :
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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057749
