DocumentCode
2142379
Title
Application of basis pursuit in spectrum estimation
Author
Chen, Scott Shaobing ; Donoho, David L.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume
3
fYear
1998
fDate
15-15 May 1998
Firstpage
1865
Abstract
We apply basis pursuit, an atomic decomposition technique, for spectrum estimation. Compared with several modern time series methods, our approach can greatly reduce the problem of power leakage; it is able to superresolve; moreover, it works well with noisy and unevenly sampled signals. We present experiments on bizarrely spaced radial velocity data from one of the newly-discovered extrasolar planetary systems.
Keywords
astronomical techniques; astronomy computing; extrasolar planets; noise; signal resolution; signal sampling; spectral analysis; stellar motion; atomic decomposition; basis pursuit; bizarrely spaced radial velocity data; experiments; extrasolar planetary systems; noisy signals; power leakage; spectrum estimation; superresolution; unevenly sampled signals; Atomic measurements; Energy resolution; Frequency; Noise reduction; Sampling methods; Signal analysis; Signal resolution; Spectral analysis; Time series analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA, USA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.681827
Filename
681827
Link To Document