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» The Kernel Least-Mean-Square Algorithm
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ICASSP
2011
IEEE
12 years 8 months ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...
TSP
2008
89views more  TSP 2008»
13 years 4 months ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
ICASSP
2011
IEEE
12 years 8 months ago
Proportionate-type normalized least mean square algorithm with gain allocation motivated by minimization of mean-square-weight d
In previous work, a water-filling algorithm was proposed which sought to minimize the mean square error (MSE) at any given time by optimally choosing the gains (i.e. step-sizes) ...
Kevin T. Wagner, Milos Doroslovacki
GLOBECOM
2010
IEEE
13 years 2 months ago
Novel Robust Blind Equalizer for QAM Signals Using Iterative Weighted-Least-Mean-Square Algorithm
In this paper, we propose a novel blind equalizer which can deal with high-order modulated QAM (quadrature amplitude modulation) signals. This new scheme is based on the signal sel...
Kun Yan, Hsiao-Chun Wu, Dongxin Xu, S. S. Iyengar
ICASSP
2011
IEEE
12 years 8 months ago
Sparse channel estimation with lp-norm and reweighted l1-norm penalized least mean squares
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...
Omid Taheri, Sergiy A. Vorobyov