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
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;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1180267
