• 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