10 citations · 26 across the 14 of their papers we have counts for
7 papers · 1 filter
Block sparse signal recovery via minimizing the block -ratio sparsity
Zhiyong Zhou
In this paper, we propose a method for block sparse signal recovery that minimizes the block -ratio sparsity $\left(\lVert z\rVert_{2,1}/\lVert z\rVert_{2,q}\right)^{\frac{q}{q-…
Minimization of the -ratio sparsity with for signal recovery
Zhiyong Zhou, Jun Yu
In this paper, we propose a general scale invariant approach for sparse signal recovery via the minimization of the -ratio sparsity. When , both the theoretic…
On -ratio CMSV for sparse recovery
Zhiyong Zhou, Jun Yu
Sparse recovery aims to reconstruct an unknown spare or approximately sparse signal from significantly few noisy incoherent linear measurements. As a kind of computable incoherence…
Sparse recovery based on q-ratio constrained minimal singular values
Zhiyong Zhou, Jun Yu
We study verifiable sufficient conditions and computable performance bounds for sparse recovery algorithms such as the Basis Pursuit, the Dantzig selector and the Lasso estimator,…
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…
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…