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Recursive least squares filter

Known as: Recursive Least Squares, Recursive least squares algorithm, RLS algorithm 
The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost… Expand
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Papers overview

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Highly Cited
2013
Highly Cited
2013
This paper concerns parameter identification of Hammerstein output error moving average systems with a two-segment piecewise… Expand
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Highly Cited
2010
Highly Cited
2010
We present the recursive least squares dictionary learning algorithm, RLS-DLA, which can be used for learning overcomplete… Expand
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Highly Cited
2010
Highly Cited
2010
We present a kernel-based recursive least-squares (KRLS) algorithm on a fixed memory budget, capable of recursively learning a… Expand
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Highly Cited
2009
Highly Cited
2009
This paper presents a kernelized version of the extended recursive least squares (EX-KRLS) algorithm which implements for the… Expand
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Highly Cited
2008
Highly Cited
2008
The performance of the recursive least-squares (RLS) algorithm is governed by the forgetting factor. This parameter leads to a… Expand
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Highly Cited
2007
Highly Cited
2007
High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless… Expand
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Highly Cited
2004
Highly Cited
2004
This paper studies the problem of robust adaptive filtering in impulsive noise environment using a recursive least M-estimate… Expand
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Highly Cited
2000
Highly Cited
2000
There has been much research on active noise control (ANC) systems and transaural sound reproduction (TSR) systems. In those… Expand
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Highly Cited
1991
Highly Cited
1991
A solution is proposed to the long-standing problem of the numerical instability of fast recursive least squares transversal… Expand
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Highly Cited
1982
Highly Cited
1982
This paper demonstrates that, provided the system input is persistently exciting, the recursive least squares estimation… Expand
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