On the wavelet denoising of multifractal functions - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2012

On the wavelet denoising of multifractal functions

Aurélia Fraysse

Résumé

This paper is devoted to the link between the rate of convergence of functions by thresholding algorithms and the multifractal formalism. Indeed we show that once given its Besov regularity, almost every function in the prevalence sense, is approximated at the minimax rate. We also prove that when the multifractal formalism is fulfilled the corresponding functions are approximated at the minimax rate of convergence.
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Dates et versions

hal-00731464 , version 1 (12-09-2012)

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  • HAL Id : hal-00731464 , version 1

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Aurélia Fraysse. On the wavelet denoising of multifractal functions. 2012. ⟨hal-00731464⟩
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