Structured Bayesian learning for recovery of clustered sparse signal

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...

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Main Authors: Wang, Lu, Zhao, Lifan, Yu, Lei, Wang, Jingjing, Bi, Guoan
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2022
主題:
在線閱讀:https://hdl.handle.net/10356/154885
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機構: Nanyang Technological University
語言: English