• DocumentCode
    336187
  • Title

    An inverse signal approach to computing the envelope of a real valued signal

  • Author

    Kumaresan, Ramdas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    1349
  • Abstract
    We address the problem of estimating the envelope of a real valued signal, s(t), that is observed for a duration of T seconds. We model s(t) using a Fourier series, by considering periodic extensions of the signal. By using an analog of the autocorrelation method of linear prediction on the Fourier coefficients of s(t), the envelope of the signal is estimated without explicitly computing the analytic signal through Hilbert transformation. Using this method the envelope of a non-stationary signal can be computed by processing the signal through a sliding T-second window
  • Keywords
    Fourier series; inverse problems; parameter estimation; prediction theory; signal processing; spectral analysis; Fourier coefficients; Fourier series; Hilbert transformation; autocorrelation method; duration; inverse signal; linear prediction; nonstationary signal; periodic signal extensions; real valued signal envelope; signal processing; sliding T-second window; spectral analysis; Analog computers; Finite impulse response filter; Fourier series; Frequency; Narrowband; Sampling methods; Signal analysis; Signal processing; Spectral analysis; Speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.756230
  • Filename
    756230