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Least mean squares filter

Known as: LMS, Least mean squares, Normalised Least mean squares filter 
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… Expand
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Related topics

Related topics

16 relations
Adaptive beamformerAdaptive equalizerAdaptive filterAutocorrelation
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Broader (1)

Digital signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… Expand
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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… Expand
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Highly Cited
2010
Highly Cited
2010
Regularized Least-Mean-Square Algorithms
We consider adaptive system identification problems with convex constraints and propose a family of regularized Least-Mean-Square… Expand
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Highly Cited
2008
Highly Cited
2008
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample-by-sample… Expand
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Highly Cited
2008
Highly Cited
2008
An Affine Combination of Two LMS Adaptive Filters—Transient Mean-Square Analysis
This paper studies the statistical behavior of an affine combination of the outputs of two least mean-square (LMS) adaptive… Expand
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Highly Cited
2005
Highly Cited
2005
Power system frequency estimation using least mean square technique
Frequency is an important parameter in power system monitoring, control, and protection. A least mean square (LMS) algorithm in… Expand
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2005
2005
Consistent normalized least mean square filtering with noisy data matrix
When the ordinary least squares method is applied to the parameter estimation problem with noisy data matrix, it is well-known… Expand
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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… Expand
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Highly Cited
1985
Highly Cited
1985
ADAPTIVE LEAST SQUARES CORRELATION: A POWERFUL IMAGE MATCHING TECHNIQUE
The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data matching problems. Here its… Expand
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Highly Cited
1984
Highly Cited
1984
The least mean fourth (LMF) adaptive algorithm and its family
New steepest descent algorithms for adaptive filtering and have been devised which allow error minimization in the mean fourth… Expand
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