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Wavelet analysis and covariance structure of some classes of non-stationary processes
Author(s) -
CharlesAntoine Guérin
Publication year - 2000
Publication title -
journal of fourier analysis and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.845
H-Index - 61
eISSN - 1531-5851
pISSN - 1069-5869
DOI - 10.1007/bf02510146
Subject(s) - fractional brownian motion , hurst exponent , covariance , mathematics , wavelet , stationary process , statistical physics , covariance function , mathematical analysis , brownian motion , statistics , computer science , physics , artificial intelligence
Processes with stationary n-increments are known to be characterized by the stationarity of their continuous wavelet coefficients. We extend this result to the case of processes with stationary fractional increments and locally stationary processes. Then we give two applications of these properties. First, we derive the explicit covariance structure of processes with stationary n-increments. Second, for fractional Brownian motion, the stationarity of the fractional increments of order greater than the Hurst exponent is recovered

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