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cs.IT2013★ 4 cited
Exact Recovery for Sparse Signal via Weighted Minimization
Shenglong Zhou, Naihua Xiu, Yingnan Wang +1
Numerical experiments in literature on compressed sensing have indicated that the reweighted minimization performs exceptionally well in recovering sparse signal. In this pap…
cs.IT2013
New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing
Shenglong Zhou, Lingchen Kong, Ziyan Luo +1
The restricted isometry constants (RICs) play an important role in exact recovery theory of sparse signals via l_q(0<q<=1) relaxations in compressed sensing. Recently, Cai and Zhan…