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Deterministic Sensing Matrices in Compressive Sensing: A Survey
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Compressive sensing is a sampling method which provides a new approach to efficient signal compression and recovery by exploiting the fact that a sparse signal can be suitably reconstructed from very few measurements.
One of the most concerns in compressive sensing is the construction of the sensing matrices.
While random sensing matrices have been widely studied, only a few deterministic sensing matrices have been considered.
These matrices are highly desirable on structure which allows fast implementation with reduced storage requirements.
In this paper, a survey of deterministic sensing matrices for compressive sensing is presented.
We introduce a basic problem in compressive sensing and some disadvantage of the random sensing matrices.
Some recent results on construction of the deterministic sensing matrices are discussed.
American Psychological Association (APA)
Nguyen, Thu L. N.& Shin, Yoan. 2013. Deterministic Sensing Matrices in Compressive Sensing: A Survey. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1011647
Modern Language Association (MLA)
Nguyen, Thu L. N.& Shin, Yoan. Deterministic Sensing Matrices in Compressive Sensing: A Survey. The Scientific World Journal No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1011647
American Medical Association (AMA)
Nguyen, Thu L. N.& Shin, Yoan. Deterministic Sensing Matrices in Compressive Sensing: A Survey. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1011647
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011647