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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681827