Distributed Sparse Recursive Least-Squares Over Networks

Distributed estimation over networks has received much attention in recent years due to its broad applicability. Many signals in nature present high level of sparsity, which contain only a few large coefficients among many negligible ones. In this paper, we address the problem of in-network distribu...

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Vydáno v:	IEEE transactions on signal processing Ročník 62; číslo 6; s. 1386 - 1395
Hlavní autoři:	Liu, Zhaoting, Liu, Ying, Li, Chunguang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.03.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	adaptive signal processing Algorithm design and analysis Algorithms Applied sciences Computational complexity Detection, estimation, filtering, equalization, prediction distributed estimation Exact sciences and technology expectation-maximization algorithm Information, signal and communications theory Least squares approximations Least squares method Mathematical analysis Mathematical models Maximum likelihood estimation Networks Operators Recursive recursive least square Signal and communications theory Signal processing algorithms Signal, noise Sparsity Telecommunications and information theory Transaction processing Vectors Wireless sensor network Performance evaluation Threshold detection Wireless telecommunication Adaptive signal processing sparsity Adaptive method Implementation Remote sensing recursive least square Distributed processing Least squares method Signal detection Information exchange distributed estimation expectation-maximization algorithm Recursive algorithm Computational complexity Wireless sensor network Recursive method Signal processing Wireless network Numerical simulation Maximum likelihood Sensor array EM algorithm
ISSN:	1053-587X, 1941-0476
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