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Communication Dans Un Congrès Année : 2008

Smooth sigmoid wavelet shrinkage for non-parametric estimation

Résumé

This paper presents a new sigmoid-based wave shrink function. The shrinkage obtained via this function is particularly suitable to reduce noise without impacting significantly the statistical properties of the signal to be recovered. The proposed WaveShrink function depends on a parameter that makes it possible to control the attenuation degree imposed to the data, and thus, allows for a flexible shrinkage.
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Dates et versions

hal-02136546 , version 1 (22-05-2019)

Identifiants

Citer

Abdourrahmane M. Atto, Dominique Pastor, Grégoire Mercier. Smooth sigmoid wavelet shrinkage for non-parametric estimation. ICASSP 2008 : IEEE international conference on acoustics, speech and signal processing, March 30 - April 4, Las Vegas, USA, Mar 2008, Las Vegas, United States. pp.3265 - 3268, ⟨10.1109/ICASSP.2008.4518347⟩. ⟨hal-02136546⟩
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