DocumentCode
2869162
Title
Delayed adaptive LMS filtering: current results
Author
Haimi-Cohen, R. ; Herzberg, H. ; Be´ery, Y.
Author_Institution
DSP Group Ltd., Giv´´at Shmuel, Israel
fYear
1990
fDate
3-6 Apr 1990
Firstpage
1273
Abstract
The main results are presented of an analysis of the convergence and the steady-state behavior of the DLMS (delayed least mean square) algorithm, with the aim of providing useful insight which may be helpful in the design of such filters. The problem is defined, and some basic definitions are presented. Conditions for convergence, convergence rate, and limits are discussed. Remarks are presented. The implications of the results for the design of DLMS adaptive filters are addressed
Keywords
adaptive filters; delays; digital filters; filtering and prediction theory; least squares approximations; DLMS adaptive filters; DLMS algorithm; adaptive LMS filtering; convergence rate; delayed least mean square; steady-state behavior; Adaptive filters; Algorithm design and analysis; Convergence; Delay; Digital signal processing; Filtering; Least squares approximation; Mean square error methods; Steady-state; Systolic arrays; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location
Albuquerque, NM
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1990.115604
Filename
115604
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