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

Mathematics

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