A parallelizable recursive least squares algorithm for adaptive filtering, with very good tracking properties

In this paper, a new Recursive Least Squares(RLS)algorithm for Finite Window Adaptive Filtering is presented, that has a number of interesting and useful properties. First, owing to the specific structure of the updating formulas and due to the fact that the past information is, for the first time,...

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Bibliographic Details
Published in:	International journal of computer mathematics Vol. 67; no. 3-4; pp. 275 - 292
Main Authors:	Papaodysseus, C., Koukoutsis, E., Halkias, C.C., Roussopoulos, G.
Format:	Journal Article
Language:	English
Published:	Abingdon Gordon and Breach Science Publishers 01.01.1998 Taylor and Francis
Subjects:	Adaptive algorithms Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology I4.4 kalman-type parallel algorithms and filters Pattern recognition. Digital image processing. Computational geometry recursive least squares(RLS)filtering Theoretical computing Image analysis Adaptive algorithm Least squares method Kalman filter Algorithm complexity Adaptive filtering Image restoration Recursive algorithm Computational complexity
ISSN:	0020-7160, 1029-0265
Online Access:	Get full text
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