Variational Bayesian Sparse Signal Recovery With LSM Prior

This paper presents a new sparse signal recovery algorithm using variational Bayesian inference based on the Laplace approximation. The sparse signal is modeled as the Laplacian scale mixture (LSM) prior. The Bayesian inference with the Laplacian models is a challenge because the Laplacian prior is...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Zhang, Shuanghui, Liu, Yongxiang, Li, Xiang, Bi, Guoan
Weitere Verfasser: School of Electrical and Electronic Engineering
Format: Journal Article
Sprache:English
Veröffentlicht: 2017
Schlagworte:
Online Zugang:https://hdl.handle.net/10356/86866
http://hdl.handle.net/10220/44225