Spectral smoothing and recursion based on the nonstationarity ofthe autocorrelation function

  • Authors:
  • M.G. Amin

  • Affiliations:
  • Dept. of Electr. Eng., Villanova Univ., PA

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1991

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Abstract

Averaging and recursion in short-time spectral analysis in view of the nature of the nonstationarity of the random process is addressed. Using the Wigner spectrum estimator as a general model, this correspondence relates the selection of the time and lag windows to the stationary intervals of the autocorrelation at different lags. The lag-dependent time averaging for two types of commonly assumed nonstationarities is presented and used to devise the recursive estimates of their time-varying spectrum