DocumentCode
696600
Title
Stability conditions for adaptive algorithms with non-quadratic error criteria
Author
Koike, Shin´ichi
Author_Institution
NEC Corporation 7-1, Shiba 5-chome, Minato-ku, Tokyo 108-8001 Japan
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
4
Abstract
In this paper, stability conditions in terms of the upper bounds of the step size and of the initial value of the Mean Squared Error (MSE) are derived for FIR adaptive filters with non-quadratic error criteria, where "rth power" of the error is used in the correlation multiplier for tap weight adaptation. Simple formulae of the upper bounds for the Least Mean Fourth Algorithm (LMFA) (r = 3) are given, and simulations with some examples verify the stability conditions derived.
Keywords
Adaptive filters; Algorithm design and analysis; Convergence; Finite impulse response filters; Stability criteria; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075221
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