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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115604
