Least mean squares filter

Known as: Least mean squares, Normalised least mean squares filter, NLMS 
Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to… (More)
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Topic mentions per year

Topic mentions per year

1975-2018
010020019752018

Papers overview

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2016
2016
The aim of this paper is to propose a least mean squares (LMS) strategy for adaptive estimation of signals defined over graphs… (More)
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2015
2015
We introduce a probabilistic approach to the LMS filter. By means of an efficient approximation, this approach provides an… (More)
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2015
2015
Multirate adaptive filtering is related to the problem of reconstructing a high-resolution signal from two or more observations… (More)
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Highly Cited
2012
Highly Cited
2012
The 50 Hz power line is one of the main sources of interference in ECG signal measurement, and it distorts the original ECG… (More)
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Highly Cited
2012
Highly Cited
2012
We address the problem of in-network distributed estimation for sparse vectors. In order to exploit the underlying sparsity of… (More)
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Highly Cited
2010
Highly Cited
2010
This paper presents an efficient adaptive combination strategy for the distributed estimation problem over diffusion networks in… (More)
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2009
2009
This paper presents an efficient adaptive combination strategy for diffusion algorithms over adaptive networks in order to… (More)
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Highly Cited
2008
Highly Cited
2008
We formulate and study distributed estimation algorithms based on diffusion protocols to implement cooperation among individual… (More)
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Highly Cited
2007
Highly Cited
2007
Distributed adaptive algorithms are proposed to address the problem of estimation in distributed networks. We extend recent work… (More)
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Highly Cited
2000
Highly Cited
2000
On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly… (More)
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