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
fDate :
30 May-2 Jun 1994
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;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.408982
