Signal recovery from multiple measurement vectors via tunable random projection and boost
The problem of recovering a sparse solution from Multiple Measurement Vectors (MMVs) is a fundamental issue in the field of signal processing. However, the performance of existing recovery algorithms is far from satisfactory in terms of maximum recoverable sparsity level and minimum number of measur...
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Main Authors: | Gai, Jianxin., Fu, Ping., Li, Zhen., Qiao, Jiaqing. |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/85066 http://hdl.handle.net/10220/12026 |
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Institution: | Nanyang Technological University |
Language: | English |
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