A New Signal Denoising Method using Iterative Thresholding of the Spectral Intrinsic Decomposition

Oumar Niang 1, 2, 3 Abdoulaye Thioune 1 Mouhamed Ould Guerra 2 Eric Deléchelle 1 Jacques Lemoine 1
1 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
2 LANI - Laboratoire d'Analyse Numérique et Informatique [Sénégal]
3 Ecole polytechnique de Thiès
Abstract : This paper presents a new signal denoising method based on the classical three step procedure analysis-threshold- synthesis and the Spectral Intrinsic Decomposition (SID). This method consists of an iterative thresholding of the SID components. If the wavelets denoising approach depends on the choice of the wavelet form, the SID-denoising proposed in this paper is self adaptive. The SID-based removal method reduces noise and can retain useful discontinuities of the signal as e ectively as the wavelet techniques based on soft thresholding.
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Oumar Niang, Abdoulaye Thioune, Mouhamed Ould Guerra, Eric Deléchelle, Jacques Lemoine. A New Signal Denoising Method using Iterative Thresholding of the Spectral Intrinsic Decomposition. International Journal of Computer Science Issues, IJCSI Press, 2012, 9 (6), pp.370-377. ⟨hal-00833561⟩

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