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A New Multichannel Recursive Least Squares Algorithm for Very Robust and Efficient Adaptive Filtering by Y. Boutalis; C. Papaodysseus; E. Koukoutsis is a Computer Science article available to read on EtoBox.

What is A New Multichannel Recursive Least Squares Algorithm for Very Robust and Efficient Adaptive Filtering about?

In this paper, a new multichannel recursive least squares (MRLS) adaptive algorithm is presented which has a number of very interesting properties. The proposed computational scheme performs adaptive filtering via the use of a finite window, where the burdening past information is dropped directly by means of a generalized inversion lemma; consequently, the proposed algorithm has excellent tracking abilities and very low misjudgment. Moreover, the scheme presented here, due to its particular structure and to the proper choice of mathematical definitions behind it, is very robust; i.e., it is less sensitive in the finite precision numerical error generation and propagation. Also, the new algorithm can be parallelized via a simple technique and its parallel form and, when executed with four processors, is faster than all the already existing schemes that perform both infinite and finite window multichannel adaptive filtering. Finally, due to the particular structure of this scheme and to the intrinsic flexibility in the choice of the window length, the proposed algorithm can act as a full substitute of the infinite window MRLS ones.

Who reads A New Multichannel Recursive Least Squares Algorithm for Very Robust and Efficient Adaptive Filtering?

Author

Y. Boutalis; C. Papaodysseus; E. Koukoutsis

Publisher

Elsevier Science; Elsevier ; Academic Press; Elsevier BV (ISSN 0196-6774)

Published

2000

Language

EN

Field

Computer Science (Physical Sciences)