Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals
Joint Authors
Bai, Youqing
Wang, Guozheng
Zhang, Qun
Luo, Ying
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-31
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Compressive sensing (CS) reconstruction of a spectrum-sparse signal from undersampled data is, in fact, an ill-posed problem.
In this paper, we mathematically prove that, in certain cases, the exact CS reconstruction of a spectrum-sparse signal from undersampled data is impossible.
Then we present the exact CS reconstruction condition of undersampled spectrum-sparse signals, which is valuable for digital signal compression.
American Psychological Association (APA)
Luo, Ying& Zhang, Qun& Wang, Guozheng& Bai, Youqing. 2013. Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-492847
Modern Language Association (MLA)
Luo, Ying…[et al.]. Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals. Journal of Applied Mathematics No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-492847
American Medical Association (AMA)
Luo, Ying& Zhang, Qun& Wang, Guozheng& Bai, Youqing. Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-492847
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492847