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Regularization of the RLS Algorithm

Jacob BENESTY, Constantin PALEOLOGU, Silviu CIOCHIN

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Summary :

Regularization plays a fundamental role in adaptive filtering. There are, very likely, many different ways to regularize an adaptive filter. In this letter, we propose one possible way to do it based on a condition that makes intuitively sense. From this condition, we show how to regularize the recursive least-squares (RLS) algorithm.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.8 pp.1628-1629
Publication Date
2011/08/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E94.A.1628
Type of Manuscript
Special Section LETTER (Special Section on Advances in Adaptive Signal Processing and Applications)
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