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New RIC Bounds via l_q-minimization with 0

Shenglong Zhou(longnan_zsl***at***163.com)
Lingchen Kong(konglchen***at***126.com)
Ziyan Luo(zyluo***at***bjtu.edu.cn)
Naihua Xiu(nhxiu***at***bjtu.edu.cn)

Abstract: The restricted isometry constants (RICs) play an important role in exact recovery theory of sparse signals via l_q(0=4/3 to guarantee the exact recovery of k sparse signals through the l_1 minimization. This paper aims to establish new RICs bounds via l_q(01, (ii)several sufficient conditions can be derived, such as for any 0=2, for any 1/2=1, (iii) the bound on \delta_k is given as well for any 0=2) is even or \delta_k<0.3203 when k(>=3) is odd.

Keywords: compressed sensing, restricted isometry constant, bound, l_q minimization, exact recovery

Category 1: Combinatorial Optimization

Category 2: Convex and Nonsmooth Optimization (Nonsmooth Optimization )

Citation:

Download: [PDF]

Entry Submitted: 08/01/2013
Entry Accepted: 08/29/2013
Entry Last Modified: 08/01/2013

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