Structured Bayesian learning for recovery of clustered sparse signal

• Main Authors: Wang, Lu, Zhao, Lifan, Yu, Lei, Wang, Jingjing, Bi, Guoan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Cluster-Sparse Signal Recovery; Sparse Bayesian Learning (SBL)
• Online Access: https://hdl.handle.net/10356/154885
• Institution: Nanyang Technological University

This paper considers the problem of recovering sparse signals with cluster structure of unknown sizes and locations. A hybrid prior is proposed by introducing a local continuity indicator, which adaptively imposes cluster information on the sparse coefficients according to the inherent data structur...