DocumentCode
390075
Title
Noise cancellation and convergence analysis of biomedical signals with the MADF algorithm
Author
Min, Seung Gi ; Yoon, Dal Hwan ; Huh, Young
Author_Institution
Dept. of Electron. Eng., Semyung Univ., South Korea
Volume
2
fYear
2002
fDate
28-31 Oct. 2002
Firstpage
905
Abstract
In this paper, the multiplication-free adaptive digital filter (MADF) algorithm to cancel the background noise which spans nearly all frequency bandwidths of biomedical signal is proposed and analyzed. In the experimental results of the convergence characteristics, the MADF algorithm has the advantage in that it is superior to a condition of low-frequency and slow data speed.
Keywords
adaptive filters; digital filters; integrated circuit noise; medical signal processing; MADF algorithm; background noise; biomedical signal; biomedical signals; convergence analysis; convergence characteristics; multiplication-free adaptive digital filter; noise cancellation; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Background noise; Convergence; Least squares approximation; Noise cancellation; Resonance light scattering; Signal analysis; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN
0-7803-7490-8
Type
conf
DOI
10.1109/TENCON.2002.1180267
Filename
1180267
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