Binary Sparse Phase Retrieval via Simulated Annealing
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper presents the Simulated Annealing Sparse PhAse Recovery (SASPAR) algorithm for reconstructing sparse binary signals from their phaseless magnitudes of the Fourier transform.
The greedy strategy version is also proposed for a comparison, which is a parameter-free algorithm.
Sufficient numeric simulations indicate that our method is quite effective and suggest the binary model is robust.
The SASPAR algorithm seems competitive to the existing methods for its efficiency and high recovery rate even with fewer Fourier measurements.
American Psychological Association (APA)
Peng, Wei& Wang, Hongxia. 2016. Binary Sparse Phase Retrieval via Simulated Annealing. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112673
Modern Language Association (MLA)
Peng, Wei& Wang, Hongxia. Binary Sparse Phase Retrieval via Simulated Annealing. Mathematical Problems in Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1112673
American Medical Association (AMA)
Peng, Wei& Wang, Hongxia. Binary Sparse Phase Retrieval via Simulated Annealing. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112673
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112673