Stochastic modeling of the NLMS algorithm for complex Gaussian input data and nonstationary environment-Reference-Cited by-同舟云学术

Stochastic modeling of the NLMS algorithm for complex Gaussian input data and nonstationary environment

Published:2014-07 Issue: Volume:30 Page:55-66
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Kuhn Eduardo Vinicius,Kolodziej Javier Ernesto,Seara Rui

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference37 articles.

1. Angenäherte Auflösung von Systemen linearer Gleichungen;Kaczmarz;Bull. Int. Acad. Pol. Sci. Lett.,1937

2. A learning method for system identification;Nagumo;IEEE Trans. Autom. Control,1967

3. Stochastic Approximation and Nonlinear Regression;Albert,1967

4. Performance of adaptive estimation algorithms in dependent random environments;Bitmead;IEEE Trans. Autom. Control,1980

5. Adaptive Filters: Theory and Applications;Farhang-Boroujeny,1999

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