DocumentCode
2146764
Title
Transitional surrogates
Author
Borgnat, Pierre ; Flandrin, Patrick ; Ferrari, André ; Richard, Cédric
Author_Institution
Lab. de Phys., Ecole Normale Super. de Lyon, Lyon, France
fYear
2011
fDate
22-27 May 2011
Firstpage
3600
Lastpage
3603
Abstract
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 pro pose 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.
Keywords
Gaussian noise; signal processing; complete randomization; random walks; spectrum phase; stationarity testing; transitional surrogates; white Gaussian noise; Correlation; Gaussian noise; Indexes; Phase noise; Testing; Time frequency analysis; Surrogates; random phase; stationarity test;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946257
Filename
5946257
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