Preconditioned generalized orthogonal matching pursuit
نویسندگان
چکیده
منابع مشابه
Correction to "Generalized Orthogonal Matching Pursuit"
As an extension of orthogonal matching pursuit (OMP) improving the recovery performance of sparse signals, generalized OMP (gOMP) has recently been studied in the literature. In this paper, we present a new analysis of the gOMP algorithm using restricted isometry property (RIP). We show that if the measurement matrix Φ ∈ R satisfies the RIP with δmax{9,S+1}K ≤ 1 8 , then gOMP performs stable re...
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Generalized orthogonal matching pursuit (gOMP) algorithm has received much attention in recent years as a natural extension of orthogonal matching pursuit. It is used to recover sparse signals in compressive sensing. In this paper, a new bound is obtained for the exact reconstruction of every K-sparse signal via the gOMP algorithm in the noiseless case. That is, if the restricted isometry const...
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In this paper, we consider the problem of compressed sensing where the goal is to recover all sparsevectors using a small number of fixed linear measurements. For this problem, we propose a novelpartial hard-thresholding operator that leads to a general family of iterative algorithms. While oneextreme of the family yields well known hard thresholding algorithms like ITI and HTP[17, ...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2020
ISSN: 1687-6180
DOI: 10.1186/s13634-020-00680-9