A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals
Joint Authors
Han, Zhi
Wang, Jianjun
Zhang, Hai
Duan, Shukai
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We present a probabilistic analysis on conditions of the exact recovery of block-sparse signals whose nonzero elements appear in fixed blocks.
We mainly derive a simple lower bound on the necessary number of Gaussian measurements for exact recovery of such block-sparse signals via the mixed l2/lq (0 In addition, we present numerical examples to partially support the correctness of the theoretical results. The obtained results extend those known for the standard lq minimization and the mixed l2/l1 minimization methods to the mixed l2/lq (0
American Psychological Association (APA)
Han, Zhi& Wang, Jianjun& Duan, Shukai& Zhang, Hai. 2014. A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1035023
Modern Language Association (MLA)
Han, Zhi…[et al.]. A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1035023
American Medical Association (AMA)
Han, Zhi& Wang, Jianjun& Duan, Shukai& Zhang, Hai. A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1035023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1035023
