A new approach for analyzing the limiting behavior of the normalized LMS algorithm under weak assumptions-Reference-Cited by-同舟云学术

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A new approach for analyzing the limiting behavior of the normalized LMS algorithm under weak assumptions

Published:2009-11 Issue:11 Volume:89 Page:2143-2151
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Eweda Eweda

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference22 articles.

1. Adaptive Algorithms and Stochastic Approximations;Benveniste,1987

2. Adaptive Signal Processing Algorithms;Solo,1995

3. Stochastic Approximation Algorithms and Applications;Kushner,1997

4. Fundamentals of Adaptive Filtering;Sayed,2003

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

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1. Analyzing the LMS Weight Error Covariance Matrix: An Exact Expectation Approach;Circuits, Systems, and Signal Processing;2024-03-31

2. Stochastic Model for the LMS Algorithm with Symmetric/Antisymmetric Properties;Symmetry;2022-09-12

3. A General Least Mean Square Algorithm Based on Mean Square Deviation Analysis;J ELECTRON INF TECHN;2021

4. On the Skewness of the LMS Adaptive Weights;IEEE Transactions on Circuits and Systems II: Express Briefs;2021-08

5. Recent Advances in Overcoming the Independence Assumption in Adaptive Filtering Analyses;2020 International Conference on Systems, Signals and Image Processing (IWSSIP);2020-07

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