DocumentCode
427661
Title
A variable leaky LMS adaptive algorithm
Author
Kamenetsky, Max ; Widrow, Bernard
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
1
fYear
2004
fDate
7-10 Nov. 2004
Firstpage
125
Abstract
The LMS algorithm has found wide application in many areas of adaptive signal processing and control. We introduce a variable leaky LMS algorithm, designed to overcome the slow convergence of standard LMS in cases of high input eigenvalue spread. The algorithm uses a greedy punish/reward heuristic together with a quantized leak adjustment function to vary the leak. Simulation results confirm that the new algorithm can significantly outperform standard LMS when the input eigenvalue spread is high.
Keywords
adaptive control; adaptive signal processing; eigenvalues and eigenfunctions; least mean squares methods; adaptive control; adaptive signal processing; eigenvalue spread; variable leaky LMS algorithm; Adaptive algorithm; Adaptive signal processing; Cost function; Eigenvalues and eigenfunctions; Iterative algorithms; Least squares approximation; Process control; Random processes; Signal processing algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN
0-7803-8622-1
Type
conf
DOI
10.1109/ACSSC.2004.1399103
Filename
1399103
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