Sparse Adaptive Filtering Techniques for Channel Estimation

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2015, 2015

3659468754 / 9783659468759

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This item is printed on demand - Print on Demand Titel. Neuware -Recently,sparse signal approximation has become an increasingly important research area in signal processing. It attracts a lot of interest due to its wide range of practical applications. In this work, a novel adaptive filtering algorithm with relative low computational complexity that is capable of exploiting the sparsity of systems is proposed. The basic idea here is, we adopt a p-norm constraint in the cost function of the variable step-size least mean square (VSSLMS) algorithm. This constrain imposes a zero attraction at each filter coefficient based on their respective relative value. Also, the convergence analysis of the proposed algorithm is presented and the stability condition is derived. The performance of the proposed algorithm has been compared to those of the Zero Attraction Least Mean Square(ZA-LMS), windowing ZA-LMS(wZA-LMS), Non-uniform Norm Constraint LMS(NNCLMS) in a system identification setting for different additive Gaussian noise(AGN), additive correlated noise(ACN)and additive impulsive noise(AIN) environments. The proposed algorithm has always shown superior performance to the others with less or comparable number of computations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…

Seller Inventory # 9783659468759

Title
Sparse Adaptive Filtering Techniques for Channel Estimation
Author
Muhammad Lawan Aliyu
Publisher
LAP LAMBERT Academic Publishing Jun 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659468754
ISBN 13
9783659468759
Item weight
131 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

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