NDLI: Compressed Sensing Based on Trust Region Method

Content Provider	Springer Nature Link
Author	Wang, Yang Xiang, Xiuqiao Zhou, Shunping Luo, Zhongwen Fang, Fang
Copyright Year	2016
Abstract	Developed in recent years, compressed sensing (CS) has saved considerable data storage and time in signal acquisition and processing, drawing the attention of many scholars in various fields. At present, a key issue is the design of an effective CS reconstruction algorithm. Unlike the commonly used CS convex optimization approaches, which require determining the direction first and later using the linear search to attain the optimal displacement, the trust region method introduced into the CS model in this paper solves a quadratic convex optimization problem in the varied circular area. The simulated reconstruction of two-dimensional images is performed via MATLAB. Meanwhile, comparative analysis is executed using different CS reconstruction methods, such as the greedy algorithms (orthogonal matching pursuit, sparse adaptive matching pursuit) and convex optimization algorithms (basis pursuit, conjugate gradient). The experimental results are summarized and analyzed, demonstrating that the proposed CS trust region method may recover the images more accurately than state-of-the-art schemes.
Starting Page	202
Ending Page	218
Page Count	17
File Format	PDF
ISSN	0278081X
Journal	Circuits, Systems, and Signal Processing
Volume Number	36
Issue Number	1
e-ISSN	15315878
Language	English
Publisher	Springer US
Publisher Date	2016-03-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Compressed sensing Signal reconstruction Convex optimization Quadratic programming Trust region method Circuits and Systems Electrical Engineering Signal,Image and Speech Processing Electronics and Microelectronics, Instrumentation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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