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Improved TV-CS Approaches for Inverse Scattering Problem
Joint Authors
Di Donato, Loreto
Bevacqua, M. T.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Total Variation and Compressive Sensing (TV-CS) techniques represent a very attractive approach to inverse scattering problems.
In fact, if the unknown is piecewise constant and so has a sparse gradient, TV-CS approaches allow us to achieve optimal reconstructions, reducing considerably the number of measurements and enforcing the sparsity on the gradient of the sought unknowns.
In this paper, we introduce two different techniques based on TV-CS that exploit in a different manner the concept of gradient in order to improve the solution of the inverse scattering problems obtained by TV-CS approach.
Numerical examples are addressed to show the effectiveness of the method.
American Psychological Association (APA)
Bevacqua, M. T.& Di Donato, Loreto. 2015. Improved TV-CS Approaches for Inverse Scattering Problem. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078621
Modern Language Association (MLA)
Bevacqua, M. T.& Di Donato, Loreto. Improved TV-CS Approaches for Inverse Scattering Problem. The Scientific World Journal No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1078621
American Medical Association (AMA)
Bevacqua, M. T.& Di Donato, Loreto. Improved TV-CS Approaches for Inverse Scattering Problem. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078621
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078621