Sparse Estimation Based on a New Random Regularized Matching Pursuit Generalized Approximate Message Passing Algorithm

Approximate Message Passing (AMP) and Generalized AMP (GAMP) algorithms usually suffer from serious convergence issues when the elements of the sensing matrix do not exactly match the zero-mean Gaussian assumption. To stabilize AMP/GAMP in these contexts, we have proposed a new sparse reconstruction...

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Vydané v:	Entropy (Basel, Switzerland) Ročník 18; číslo 6; s. 207
Hlavní autori:	Luo, Yongjie, Gui, Guan, Cong, Xunchao, Wan, Qun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2016
Predmet:	Algorithms Approximation compressed sensing Computation Convergence Detection Entropy generalized approximate message passing Matching matching pursuit Message passing random regularization replica method
ISSN:	1099-4300, 1099-4300
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