Abstract : A method is proposed for testing stationarity in an operational sense, i.e., by both including explicitly an observation scale in the definition and elaborating a stationarized reference so as to reject the null hypothesis of stationarity with a controlled level of statistical significance. While the approach is classically based on comparing local vs. global features in the time-frequency plane, the test operates with a family of stationarized surrogates whose analysis allows for a characterization of the null hypothesis. The general principle of the method is outlined, practical issues related to its actual implementation are discussed and a typical example is provided for illustrating the approach and supporting its effectiveness.
https://hal-ens-lyon.archives-ouvertes.fr/ensl-00175965
Contributor : Pierre Borgnat
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Submitted on : Monday, October 1, 2007 - 9:01:39 PM
Last modification on : Thursday, April 19, 2018 - 2:54:03 PM
Long-term archiving on : Friday, April 9, 2010 - 4:31:17 PM
Jun Xiao, Pierre Borgnat, Patrick Flandrin. Testing Stationarity with Time-Frequency Surrogates. 15th European Signal Processing Conference EUSIPCO-2007, EURASIP, Sep 2007, Poznan, Poland. ⟨ensl-00175965⟩
