• DocumentCode
    2233620
  • Title

    A novel frequency estimator and its comparative performances for short record lengths

  • Author

    So, H.C. ; Ip, S.K.

  • Author_Institution
    Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, Kowloon, China
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on the linear prediction property of sinusoidal signals, a closed form unbiased frequency estimator for a real sinusoid in white noise is devised. The frequency estimate is determined from minimization of a modified least squares cost function. Computer simulations are included to evaluate the performance of the proposed estimator by comparing with existing closed form frequency estimators and the Cramér-Rao lower bound, particularly for short observation intervals.
  • Keywords
    frequency estimation; least squares approximations; minimisation; prediction theory; signal processing; white noise; Cramér-Rao lower bound; frequency estimator; linear prediction property; minimization; modified least square cost function; performance evaluation; short record length; sinusoidal signal property; white noise; Abstracts; Cities and towns; Estimation error; Facsimile; Frequency estimation; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071991
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2233620