Variational Bayesian Sparse Signal Recovery With LSM Prior

• المؤلفون الرئيسيون: Zhang, Shuanghui, Liu, Yongxiang, Li, Xiang, Bi, Guoan
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Laplacian Scale Mixture (LSM); Sparse Signal Recovery
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/86866; http://hdl.handle.net/10220/44225
• المؤسسة: 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...