• DocumentCode
    1234294
  • Title

    An ARMA spectral analysis technique based on a fast Euclidean algorithm

  • Author

    Palmer, Robert D. ; Cruz, J.R.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA
  • Volume
    37
  • Issue
    10
  • fYear
    1989
  • fDate
    10/1/1989 12:00:00 AM
  • Firstpage
    1532
  • Lastpage
    1536
  • Abstract
    An approach to high resolution spectral analysis using rational signal models is presented. This technique is based on a fast Euclidean algorithm for polynomials that has a computational complexity on the order of n log2 n. Some background material on Pade approximation and the Euclidean algorithm is presented. Some examples are presented, and the results are evaluated using the exact Cramer-Rao lower bound. This method is shown to perform well in the presence of white and colored noise
  • Keywords
    spectral analysis; Pade approximation; colored noise; computational complexity; exact Cramer-Rao lower bound; fast Euclidean algorithm; high resolution spectral analysis; polynomials; rational signal models; white noise; Approximation algorithms; Difference equations; Helium; Parametric statistics; Polynomials; Signal processing algorithms; Signal resolution; Spectral analysis; Vectors; White noise;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.35391
  • Filename
    35391
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1234294