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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… Expand
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Papers overview

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Highly Cited
2012
Highly Cited
2012
We address the problem of in-network distributed estimation for sparse vectors. In order to exploit the underlying sparsity of… Expand
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Highly Cited
2010
Highly Cited
2010
This paper presents an efficient adaptive combination strategy for the distributed estimation problem over diffusion networks in… Expand
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Highly Cited
2010
Highly Cited
2010
We consider adaptive system identification problems with convex constraints and propose a family of regularized Least-Mean-Square… Expand
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Highly Cited
2008
Highly Cited
2008
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample-by-sample… Expand
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Highly Cited
2008
Highly Cited
2008
This paper studies the statistical behavior of an affine combination of the outputs of two least mean-square (LMS) adaptive… Expand
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Highly Cited
2005
Highly Cited
2005
Frequency is an important parameter in power system monitoring, control, and protection. A least mean square (LMS) algorithm in… Expand
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2005
2005
When the ordinary least squares method is applied to the parameter estimation problem with noisy data matrix, it is well-known… Expand
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Highly Cited
2000
Highly Cited
2000
On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly… Expand
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Highly Cited
1985
Highly Cited
1985
The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data matching problems. Here its… Expand
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Highly Cited
1984
Highly Cited
1984
New steepest descent algorithms for adaptive filtering and have been devised which allow error minimization in the mean fourth… Expand
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