DocumentCode
1668203
Title
Conjugate gradient techniques for adaptive filtering
Author
Boray, G.K. ; Srinath, M.D.
Author_Institution
Bell Northern Res., Richardson, TX, USA
fYear
1989
Firstpage
1752
Abstract
The technique of conjugate gradients is applied to the adaptive filtering problem. The method provides convergence comparable to that of RLS (recursive-least-squares) schemes and has a computational requirement that is intermediate between the LMS (least-mean-square) and the RLS methods. It does not suffer from any known stability problems.<>
Keywords
adaptive filters; convergence of numerical methods; filtering and prediction theory; adaptive filtering; conjugate gradients; convergence; stability; Adaptive filters; Approximation methods; Gradient methods; Iterative methods; Symmetric matrices; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location
Portland, OR, USA
Type
conf
DOI
10.1109/ISCAS.1989.100705
Filename
100705
Link To Document