IST 2014 , 2014-09-09

Title : ( Distributed Sparse Adaptive Algorithm for NonGaussian Noise Applications )

Authors: Hossein Zamiri Jafarian ,
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The goal of this paper is to propose a distributed adaptive algorithm for estimation of sparse unknown parameters in the presence of nonGaussian noise. The proposed adaptive algorithm uses zero norm for accelerating the speed of convergence in sparse conditions and it uses fourth order of instantaneous error to access lower steaty state error in the presence of nonGaussian noise. Then, a distributed version of this algorithm is developed in which cooperation of local adaptive filters provides spatial diversity that results more reduction in steady state error. Simulation results show the superiority of the proposed algorithm in comparison with other algorithms.

Keywords

distributed signal processing; adaptive sparse estimation; Gaussian mixture noise;sparse
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@inproceedings{paperid:1046362,
author = {Zamiri Jafarian, Hossein},
title = {Distributed Sparse Adaptive Algorithm for NonGaussian Noise Applications},
booktitle = {IST 2014},
year = {2014},
location = {تهران, IRAN},
keywords = {distributed signal processing; adaptive sparse estimation; Gaussian mixture noise;sparse NLMFalgorithm},
}

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%0 Conference Proceedings
%T Distributed Sparse Adaptive Algorithm for NonGaussian Noise Applications
%A Zamiri Jafarian, Hossein
%J IST 2014
%D 2014

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