1 citations · 1 across the 5 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.IT2018
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…
stat.ME2018
Adaptive Algorithm for Sparse Signal Recovery
Fekadu L. Bayisa, Zhiyong Zhou, Ottmar Cronie +1
Spike and slab priors play a key role in inducing sparsity for sparse signal recovery. The use of such priors results in hard non-convex and mixed integer programming problems. Mos…
cs.IT2018★ 1 cited
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,…