• DocumentCode
    2451825
  • Title

    Special estimation algorithm of AR model

  • Author

    Haiyan, Wu ; Xiaoqun, Zhao ; Xiaolei, Han

  • Author_Institution
    Sch. of Electron. & Inf., Tongji Univ., Shanghai, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    996
  • Lastpage
    1000
  • Abstract
    Distortion will happen when normal signal is disturbed or interfered. The system resulting in signal distortion can be estimated in signal processing way. In order to overcome the defect of ordinary method of estimating the system model by FFT analysis, two algorithms are proposed in this paper, one is AR model estimate method by pole cancellation, another is AR model estimation method based on linear forecast analysis. The simulation results show that, compared with the shortcomings of the ordinary FFT method, the two algorithms can get the system model with distinguished feature and certain order.
  • Keywords
    distortion; fast Fourier transforms; signal processing; AR model; AR model estimation method; FFT analysis; linear forecast analysis; pole cancellation; signal distortion; signal processing; special estimation algorithm; Analytical models; Distortion; Estimation; Mathematical model; Predictive models; Signal processing algorithms; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376760
  • Filename
    6376760