Variational Bayesian Sparse Signal Recovery With LSM Prior

• Main Authors: Zhang, Shuanghui, Liu, Yongxiang, Li, Xiang, Bi, Guoan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Laplacian Scale Mixture (LSM); Sparse Signal Recovery
• Online Access: https://hdl.handle.net/10356/86866; http://hdl.handle.net/10220/44225
• Institution: Nanyang Technological University

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...