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: | , , , , |
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其他作者: | |
格式: | Article |
語言: | English |
出版: |
2022
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在線閱讀: | https://hdl.handle.net/10356/154885 |
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機構: | Nanyang Technological University |
語言: | English |