1 citations · 1 across the 5 of their papers we have counts for
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stat.ME2017
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 $\…
stat.AP2017
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…
cs.IT2017
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…