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» Adaptive least mean square behavioral power modeling
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DATE
1997
IEEE
85views Hardware» more  DATE 1997»
13 years 9 months ago
Adaptive least mean square behavioral power modeling
Alessandro Bogliolo, Luca Benini, Giovanni De Mich...
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...
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
TSP
2008
109views more  TSP 2008»
13 years 4 months ago
An Affine Combination of Two LMS Adaptive Filters - Transient Mean-Square Analysis
This paper studies the statistical behavior of an affine combination of the outputs of two least mean-square (LMS) adaptive filters that simultaneously adapt using the same white G...
Neil J. Bershad, José Carlos M. Bermudez, J...
ICASSP
2011
IEEE
12 years 8 months ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...