• DocumentCode
    3019458
  • Title

    Adaptive algorithms for constrained ARMA signals in the presence of noise

  • Author

    Nehorai, Arye ; Stoica, Petre

  • Author_Institution
    Yale University, New Haven, CT, USA
  • Volume
    12
  • fYear
    1987
  • fDate
    31868
  • Firstpage
    1003
  • Lastpage
    1006
  • Abstract
    A new family of algorithms is developed for adaptive parameter estimation of constrained autoregressive moving-average (ARMA) signals in the presence of noise. These algorithms utilize a priori known information concerning the signal´s properties, such as its spectral shape or a spatial domain characteristic. Special cases include autoregressive (AR) and band-pass spectrum signals in the presence of noise, signal deconvolution and image deblurring.
  • Keywords
    Adaptive algorithm; Computed tomography; Deconvolution; Noise measurement; Noise shaping; Pollution measurement; Polynomials; Recursive estimation; Spectral shape; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169816
  • Filename
    1169816
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3019458