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TRANSITIONAL SURROGATES

Non-Stationary Signal Analysis

Full Paper at IEEE Xplore

Presented by: Patrick Flandrin, Author(s): Pierre Borgnat, Patrick Flandrin, CNRS - ENS Lyon, France; André Ferrari, Cédric Richard, Université de Nice Sophia-Antipolis, France

While an exact stationarization of a process with a given spectrum magnitude can be obtained via a complete randomization of the spectrum phase ("surrogates" technique), we propose here a softened version in which the degree of stationarization can be controlled by a perturbation of the actual phase. A basic theory for such "transitional surrogates" is first discussed, with emphasis on two effective constructions based on either white Gaussian noise or random walks. Some typical examples are considered for illustration, and performance evaluations are provided for supporting the usefulness of the approach in the context of stationarity testing.

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  Lecture Information

Recorded: 2011-05-24 15:05 - 15:25, Club B
Added: 15. 6. 2011 08:15
Number of views: 38
Video resolution: 1024x576 px, 512x288 px
Video length: 0:22:20
Audio track: MP3 [7.56 MB], 0:22:20