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...

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Bibliographic Details
Main Authors: Shuanghui Zhang, Yongxiang Liu, Xiang Li, Guoan Bi
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8080205/