• DocumentCode
    3223222
  • Title

    Frequency estimation using the analytic signals by decimation

  • Author

    Shimamura, Tetsuya ; Sakaguchi, Naoya ; Takahashi, Shin-Ichi

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
  • fYear
    1989
  • fDate
    1-2 June 1989
  • Firstpage
    540
  • Lastpage
    543
  • Abstract
    An autoregressive (AR) spectral estimation method is presented for the improved estimation of two close sinusoidal frequencies. Instead of a conventional bandpass prefilter with real coefficients, a bandpass prefilter is used with complex coefficients for high resolution of the AR spectral estimation. Under the conditions that only the short data are given and the signal-to-noise ratio (SNR) is low, this method conquers some problems. A method is presented for further modifying this approach. The method effectively uses the remainder signals obtained after the down-sampling and repeats an estimation algorithm.<>
  • Keywords
    band-pass filters; signal processing; spectral analysis; AR spectral estimation; SNR; analytic signals; autoregressive spectral estimation; bandpass prefilter; complex coefficients; decimation; down-sampling; estimation algorithm; frequency estimation; high resolution; remainder signals; signal-to-noise ratio; sinusoidal frequencies; Band pass filters; Finite impulse response filter; Frequency estimation; Interference; Performance analysis; Signal analysis; Signal resolution; Signal to noise ratio; Transfer functions; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1989. Conference Proceeding., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC, Canada
  • Type

    conf

  • DOI
    10.1109/PACRIM.1989.48421
  • Filename
    48421