Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals
Ying Luo,
Qun Zhang,
Guozheng Wang and
Youqing Bai
Journal of Applied Mathematics, 2013, vol. 2013, 1-6
Abstract:
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.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/JAM/2013/715848.pdf (application/pdf)
http://downloads.hindawi.com/journals/JAM/2013/715848.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:715848
DOI: 10.1155/2013/715848
Access Statistics for this article
More articles in Journal of Applied Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().