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Least mean squares filter
Known as:
LMS
, Least mean squares
, Normalised Least mean squares filter
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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 beamformer
Adaptive equalizer
Adaptive filter
Autocorrelation
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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
Adem Ukte
,
Aydin Kizilkaya
Signal Processing and Communications Applications…
2015
Corpus ID: 10854890
Multirate adaptive filtering is related to the problem of reconstructing a high-resolution signal from two or more observations…
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Highly Cited
2008
Highly Cited
2008
Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system
E. Araujo
,
L. Coelho
Applied Soft Computing
2008
Corpus ID: 15179593
Highly Cited
2005
Highly Cited
2005
Design of an Adaptive Filter with a Dynamic Structure for ECG Signal Processing
Juwon Lee
,
Gun-Ki Lee
2005
Corpus ID: 6402818
Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. It is difficult to filter…
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Highly Cited
2002
Highly Cited
2002
Use of least mean squares (LMS) adaptive filtering technique for estimating low-frequency electromechanical modes in power systems
R. Wies
,
J. Pierre
IEEE Power Engineering Society General Meeting
2002
Corpus ID: 29482704
The stability of heavily interconnected power systems is a primary concern in the power utility industry. Accurate knowledge of…
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1996
1996
Weighted least mean square design of 2-D FIR digital filters: the general case
J. Aravena
,
G. Gu
IEEE Transactions on Signal Processing
1996
Corpus ID: 6649451
This paper solves the weighted least mean square (WLMS) design of two-dimensional (2-D) finite impulse response (FIR) filters…
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Highly Cited
1993
Highly Cited
1993
A high sampling rate delayed LMS filter architecture
M. D. Meyer
,
D. Agrawal
1993
Corpus ID: 62546549
The problem of implementing a high sampling rate transversal form adaptive filter is investigated. A highly pipelined systolic…
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1993
1993
Unconstrained Hartley domain least mean square adaptive filter
P. Meher
,
G. Panda
1993
Corpus ID: 18990824
An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been…
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Review
1991
Review
1991
Admissibility in blind adaptive channel equalization
Jr. C.Richard Johnson
IEEE Control Systems
1991
Corpus ID: 12463830
A tutorial survey is presented of an open problem, namely, the admissibility of the memory-less-error-function class of blind…
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1986
1986
Floating-point error analysis of recursive least-squares and least-mean-squares adaptive filters
S. Ardalan
1986
Corpus ID: 8577896
A floating-point error analysis of the Recursive LeastSquares (RLS) and Least-Mean-Squares (LMS) algorithms is presented. Both…
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Highly Cited
1985
Highly Cited
1985
Adaptive Lattice Decision-Feedback Equalizers - Their Performance and Application to Time-Variant Multipath Channels
F. Ling
,
J. Proakis
IEEE Transactions on Communications
1985
Corpus ID: 11258418
This paper presents two types of adaptive lattice decisionfeedback equalizers (DFE), the least squares (LS) lattice DFE and the…
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