FAQ

Recursive least squares filter

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

Topic mentions per year

Topic mentions per year

1975-2018
010020030019752018

Related topics

Related topics

12 relations
Adaptive beamformerAdaptive equalizerAdaptive filterAlgebraic Riccati equation
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Broader (1)

Digital signal processing

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Recursive least squares filter
Loss function
Kalman filter
Adaptive filter
Digital signal processing
Negative feedback

Papers overview

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2015
2015
Bilateral teleoperation control using recursive least squares filter with forgetting factor
In this research, we have designed and implemented recursive least squares (RLS) algorithm in master slave tracking on Geomagic… (More)
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Highly Cited
2010
Highly Cited
2010
Recursive Least Squares Dictionary Learning Algorithm
We present the recursive least squares dictionary learning algorithm, RLS-DLA, which can be used for learning overcomplete… (More)
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2010
2010
The widely linear quaternion recursive least squares filter
A quaternion valued recursive least squares algorithm for the processing of the generality of quaternion valued random processes… (More)
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2010
2010
Recursive Least Squares Adaptive Filter a better ISI Compensator
Inter-symbol interference if not taken care off may cause severe error at the receiver and the detection of signal becomes… (More)
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Highly Cited
2009
Highly Cited
2009
Extended Kernel Recursive Least Squares Algorithm
This paper presents a kernelized version of the extended recursive least squares (EX-KRLS) algorithm which implements for the… (More)
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Highly Cited
2008
Highly Cited
2008
Diffusion recursive least-squares for distributed estimation over adaptive networks
We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in a… (More)
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Highly Cited
2006
Highly Cited
2006
Distributed Recursive Least-Squares Strategies Over Adaptive Networks
A distributed least-squares estimation strategy is developed by appealing to collaboration techniques that exploit the space-time… (More)
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Highly Cited
2004
Highly Cited
2004
The kernel recursive least-squares algorithm
We present a nonlinear version of the recursive least squares (RLS) algorithm. Our algorithm performs linear regression in a high… (More)
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Highly Cited
1991
Highly Cited
1991
Numerically stable fast transversal filters for recursive least squares adaptive filtering
In this paper, a solution is proposed to the long-standing problem of the numerical instability of fast recursive least squares… (More)
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1991
1991
A novel approach for stabilizing recursive least squares filters
One reason recursive least squares (RLS) filters are not widely used in adaptive signal processing applications is because of… (More)
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