10 citations · 26 across the 14 of their papers we have counts for
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Recovery analysis for weighted mixed minimization with
Zhiyong Zhou, Jun Yu
We study the recovery conditions of weighted mixed minimization for block sparse signal reconstruction from compressed measurements when partial block…
Sparsity estimation in compressive sensing with application to MR images
Jianfeng Wang, Zhiyong Zhou, Anders Garpebring +1
The theory of compressive sensing (CS) asserts that an unknown signal can be accurately recovered from measurements with provided that $\…
Phaseless compressive sensing using partial support information
Zhiyong Zhou, Jun Yu
We study the recovery conditions of weighted minimization for real-valued signal reconstruction from phaseless compressive sensing measurements when partial support inform…
Stable and robust -constrained compressive sensing recovery via robust width property
Zhiyong Zhou, Jun Yu
We study the recovery results of -constrained compressive sensing (CS) with via robust width property and determine conditions on the number of measurements for s…
Estimation of block sparsity in compressive sensing
Zhiyong Zhou, Jun Yu
Explicitly using the block structure of the unknown signal can achieve better reconstruction performance in compressive sensing. Theoretically, an unknown signal with block structu…