DocumentCode
292994
Title
A fast convergence median LMS algorithm
Author
Wan, K.F. ; Ching, P.C.
Author_Institution
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
2
fYear
1994
fDate
30 May-2 Jun 1994
Firstpage
377
Abstract
In this paper, a split-path median LMS algorithm is proposed. By reducing the eigenvalue spread of the input correlation matrix, the algorithm not only improves the convergence performance but also enhances the tracking behaviour of abrupt signal edges. The simulation results for line enhancement are presented and comparisons are made with LMS and median LMS algorithms
Keywords
Adaptive filters; Adaptive signal processing; Convergence; Eigenvalues and eigenfunctions; Filtering; Least squares approximation; Matrix decomposition; Noise level; Signal processing algorithms; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location
London
Print_ISBN
0-7803-1915-X
Type
conf
DOI
10.1109/ISCAS.1994.408982
Filename
408982
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