Data-Reuse Recursive Least-Squares Algorithms

There are different strategies to improve the overall performance of the recursive least-squares (RLS) adaptive filter. In this letter, we focus on the data-reuse approach, aiming to improve the convergence rate/tracking of the algorithm by reusing the same set of data (i.e., the input and reference...

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Bibliographic Details
Published in:	IEEE signal processing letters Vol. 29; pp. 752 - 756
Main Authors:	Paleologu, Constantin, Benesty, Jacob, Ciochina, Silviu
Format:	Journal Article
Language:	English
Published:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive filters Algorithms Computational complexity Convergence Covariance matrices data-reuse echo cancellation fast RLS (FRLS) algorithm Indexes Jacobian matrices Kalman filters Least squares recursive least-squares (RLS) algorithm Reference signals Reuse Signal processing algorithms tracking
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
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