1 citations · 1 across the 2 of their papers we have counts for
4 papers
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,…
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 $\…
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Kristi Kuljus, Fekadu L. Bayisa, David Bolin +2
There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. In this article, predictin…
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…