A fast RLS-algorithm for linearly constrained adaptive filtering of nonstationary signals

Authors

DOI:

https://doi.org/10.3103/S073527270502010X

Abstract

A fast RLS-algorithm of multichannel adaptive filtering with a sliding window and linear constraints is suggested. The algorithm represents a fast (effective in the computational sense) version of the similar RLS-algorithm based on the inverse QR-decomposition. A peculiar feature of the algorithm is absence of square root operations in it.

Author Biography

Victor I. Djigan, Institute for Design Problems in Microelectronics of Russian Academy of Sciences

(2005) GUP NPTs "ELVIS", Moscow

References

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Published

2005-02-10

Issue

Section

Research Articles