Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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… 
2008
2008
A new noise-constrained normalized least mean squares adaptive filtering algorithm
This paper proposes a new noise-constrained normalized least mean squares (NC-NLMS) adaptive filtering algorithm and studies its… 
Highly Cited
2006
Highly Cited
2006
A self-compensating adaptive digital regulator for switching converters based on linear prediction
This paper presents a self-compensating adaptive digital regulator applied to dc to dc converters. Implementing linear prediction… 
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
1999
Highly Cited
1999
An adaptive predictor for media playout buffering
Receiver playout buffers are required to smooth network delay variations for multimedia streams. Playout buffer algorithms such… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)