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- W3136803882 abstract "In this paper, we propose a method for block sparse signal recovery that minimizes the block q-ratio sparsity ‖z‖2,1/‖z‖2,qqq−1 with q∈[0,∞]. For the case of 1<q≤∞, we present the theoretical analyses and the computing algorithms for both cases of the ℓ2-bounded and ℓ2,∞-bounded noises. The corresponding unconstrained model is also investigated. Its superior performance in block sparse signal reconstruction is demonstrated by numerical experiments." @default.
- W3136803882 created "2021-03-29" @default.
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- W3136803882 date "2024-03-01" @default.
- W3136803882 modified "2023-09-25" @default.
- W3136803882 title "Block sparse signal recovery via minimizing the block <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline id=d1e457 altimg=si155.svg><mml:mi>q</mml:mi></mml:math>-ratio sparsity" @default.
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- W3136803882 doi "https://doi.org/10.1016/j.cam.2023.115566" @default.
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