Correlative Time-frequency Analysis and Classification of Nonstationary Random Processes *

@inproceedings{KozeklCorrelativeTA,
  title={Correlative Time-frequency Analysis and Classification of Nonstationary Random Processes *},
  author={Werner Kozekl and Hlawatsch and Heinrich Kirchauer and Uwe Trautwein}
}
The ezpected ambiguity function (EAF) is shown to provide a generalization of stationary correlation analysis to nonstationary random processes. Important properties of the EAF are discussed, and the EAFs of special processes are considered. Based on the EAF, a fundamental classification (underspread/overspread) of nonstationary processes is introduced and shown to be relevant to timevarying spectral analysis. The correlative analysis of stationar processes using the autocorrelation function… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 25 extracted citations

References

Publications referenced by this paper.
Showing 1-5 of 5 references

Wi erVille s ectral analysis of nonstationary processes Timedependent spectra for nonstationary stochastic processes

  • P. Flandrin
  • Probability , Random Variables , and Stochastic…
  • 1991

Optimally KarhunenLoevelike STFT expansion of nonstationary processes Matched generalized Gabor expansion of non - stationary processes

  • W. Kozek
  • Statistical Spectral Analysis : A Nonpmbabilistic…
  • 1988

Matched We 1 Heisenberg expansions of non - stationary environments

  • W. Kozek

On the generalized Weyl correspondence and its application to time - frequency analysis of linear time - varying s stems

  • K. Ftiedel
  • Proc . IEEE Int . Symp . on Time - Frequency a n…

Similar Papers

Loading similar papers…