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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Multirate adaptive filtering is related to the problem of reconstructing a high-resolution signal from two or more observations… 
Highly Cited
2005
Highly Cited
2005
Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. It is difficult to filter… 
Highly Cited
2002
Highly Cited
2002
The stability of heavily interconnected power systems is a primary concern in the power utility industry. Accurate knowledge of… 
1996
1996
This paper solves the weighted least mean square (WLMS) design of two-dimensional (2-D) finite impulse response (FIR) filters… 
Highly Cited
1993
Highly Cited
1993
The problem of implementing a high sampling rate transversal form adaptive filter is investigated. A highly pipelined systolic… 
1993
1993
An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been… 
Review
1991
Review
1991
A tutorial survey is presented of an open problem, namely, the admissibility of the memory-less-error-function class of blind… 
1986
1986
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
This paper presents two types of adaptive lattice decisionfeedback equalizers (DFE), the least squares (LS) lattice DFE and the…