FAQ

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)
Wikipedia

Topic mentions per year

Topic mentions per year

1975-2018
010020019752018

Related topics

Related topics

15 relations
Adaptive beamformerAdaptive equalizerAdaptive filterAutocorrelation
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Broader (1)

Digital signal processing

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Least mean squares filter
Gradient
Loss function
Least squares
Autocorrelation
Digital signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Adaptive Least Mean Squares Estimation of Graph Signals
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
A probabilistic least-mean-squares filter
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
Adaptive noise cancellation with a multirate normalized least mean squares filter
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
Least-Mean-Square algorithm based adaptive filters for removing power line interference from ECG signal
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
Diffusion Sparse Least-Mean Squares Over Networks
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
Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis
This paper presents an efficient adaptive combination strategy for the distributed estimation problem over diffusion networks in… (More)
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2009
2009
Diffusion least-mean squares with adaptive combiners
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
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
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
Diffusion Least-Mean Squares Over Adaptive Networks
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
Proportionate normalized least-mean-squares adaptation in echo cancelers
On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly… (More)
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