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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.
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… 
2012
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… 
2004
2004
Use of least-mean squares (LMS) adaptive filtering technique for estimating low-frequency electromechanical modes in power systems
  • R. WiesJ. Pierre
  • Proceedings of the American Control Conference…
  • 2004
  • Corpus ID: 110212777
The stability of heavily interconnected power systems is a primary concern in the power utility industry. Accurate knowledge of… 
Highly Cited
2002
Highly Cited
2002
Use of least mean squares (LMS) adaptive filtering technique for estimating low-frequency electromechanical modes in power systems
The stability of heavily interconnected power systems is a primary concern in the power utility industry. Accurate knowledge of… 
Highly Cited
2002
Highly Cited
2002
The effects of modulation combination, target BER, Doppler frequency, and adaptation interval on the performance of adaptive OFDM in broadband mobile channel
OFDM is one of the promising modulation candidates for a fourth generation broadband mobile communication system because of its… 
1996
1996
Weighted least mean square design of 2-D FIR digital filters: the general case
This paper solves the weighted least mean square (WLMS) design of two-dimensional (2-D) finite impulse response (FIR) filters… 
1993
1993
Unconstrained Hartley domain least mean square adaptive filter
An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been… 
Review
1991
Review
1991
Admissibility in blind adaptive channel equalization
A tutorial survey is presented of an open problem, namely, the admissibility of the memory-less-error-function class of blind… 
1986
1986
Floating-point error analysis of recursive least-squares and least-mean-squares adaptive filters
A floating-point error analysis of the Recursive LeastSquares (RLS) and Least-Mean-Squares (LMS) algorithms is presented. Both… 
Highly Cited
1985
Highly Cited
1985
Adaptive Lattice Decision-Feedback Equalizers - Their Performance and Application to Time-Variant Multipath Channels
This paper presents two types of adaptive lattice decisionfeedback equalizers (DFE), the least squares (LS) lattice DFE and the… 
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