• DocumentCode
    809134
  • Title

    IEEE Standard 1057, Crame´r-Rao bound and the parsimony principle

  • Author

    Andersson, Tomas ; Händel, Peter

  • Author_Institution
    KTH Signals, R. Inst. of Technol., Stockholm, Sweden
  • Volume
    55
  • Issue
    1
  • fYear
    2006
  • Firstpage
    44
  • Lastpage
    53
  • Abstract
    This paper deals with some fundamental properties of the sine-wave-fit algorithm included in IEEE Standards 1057 and 1241. Asymptotic Crame´r-Rao bounds (CRBs) for three and four model parameters are derived under the Gaussian assumption. Further, the sine-wave-fitting properties of the algorithm are analyzed by the parsimony principle. A decision criterion whether to use the three- or four-parameter model is derived. It is shown that a three-parameter sine-wave fit produces a better fit than the four-parameter fit if the frequency is known to be within an interval related to the number of samples and the signal-to-noise ratio. By a numerical analysis, the theoretical results are shown to be also valid for the uniform noise model of quantization.
  • Keywords
    IEEE standards; measurement standards; parameter estimation; quantisation (signal); waveform analysis; Gaussian assumptions; IEEE Standard 1057; IEEE Standard 1241; asymptotic Cramer-Rao bounds; decision criterion; numerical analysis; parsimony principle; quantization; signal recovery; sine-wave-fit algorithm; three-parameter sine-wave fit; tone-frequency estimation; uniform noise model; Algorithm design and analysis; Frequency; Harmonic distortion; Least squares approximation; Least squares methods; Numerical analysis; Quantization; Signal to noise ratio; Software performance; Testing; IEEE Standards 1057 and 1251; model-order selection; sine-wave fit; waveform fit;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2005.861497
  • Filename
    1583861