Estimation of the self-similarity parameter using the wavelet transform

We are interested in analyzing fBm self-similar processes and particularly in estimating the parameter that tunes the trajectories regularity. The proposed method uses the wavelet coefficients and their scale invariance property to reduce the problem into a linear regression estimation one. Results on simulated data are shown to substantiate our approach.

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