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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… 
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Related topics

Related topics

16 relations
Adaptive beamformerAdaptive equalizerAdaptive filterAutocorrelation

Broader (1)

Digital signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control
This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic… 
Highly Cited
2016
Highly Cited
2016
Comparative Performance of Wiener Filter and Adaptive Least Mean Square-Based Control for Power Quality Improvement
This paper presents a three-phase shunt active power filter (SAPF) for mitigating power quality problems at the distribution… 
Highly Cited
2010
Highly Cited
2010
Diffusion LMS Strategies for Distributed Estimation
We consider the problem of distributed estimation, where a set of nodes is required to collectively estimate some parameter of… 
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… 
Highly Cited
1987
Highly Cited
1987
A multiple error LMS algorithm and its application to the active control of sound and vibration
An algorithm is presented to adapt the coefficients of an array of FIR filters, whose outputs are linearly coupled to another… 
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… 
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… 
Highly Cited
1981
Highly Cited
1981
Block implementation of adaptive digital filters
Block digital filtering involves the calculation of a block or finite set of filter outputs from a block of input values. This… 
Highly Cited
1976
Highly Cited
1976
Stationary and nonstationary learning characteristics of the LMS adaptive filter
This paper describes the performance characteristics of the LMS adaptive filter, a digital filter composed of a tapped delay line… 
Highly Cited
1972
Highly Cited
1972
An algorithm for linearly constrained adaptive array processing
A constrained least mean-squares algorithm has been derived which is capable of adjusting an array of sensors in real time to… 
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