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

  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


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