• DocumentCode
    1564355
  • Title

    Signal class estimation using MLM

  • Author

    Parks, T.W. ; Shenoy, R.G. ; Wijeyesekera, N.I.

  • Author_Institution
    Dept. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    1989
  • Firstpage
    2170
  • Abstract
    The authors begin with a review of estimation using signal classes. They then show that certain spectral estimation procedures can be viewed as methods of estimating a signal class from data. Given a signal class, it is then possible to estimate signal parameters other than the magnitude of the spectrum, such as phase or missing data points
  • Keywords
    filtering and prediction theory; spectral analysis; estimation; maximum likelihood methods; signal classes; spectral estimation; Data engineering; Ear; Filters; Fourier transforms; Frequency domain analysis; Hilbert space; Kernel; Parameter estimation; Phase estimation; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266893
  • Filename
    266893
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1564355