Comparison of supergaussianity and whiteness assumptions for blind deconvolution in noisy context - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2006

Comparison of supergaussianity and whiteness assumptions for blind deconvolution in noisy context

Résumé

We propose a frequency blind deconvolution algorithm based on mutual information rate as a measure of whiteness. In the case of seismic data, the algorithm of Wiggins~\cite{wiggins} based on kurtosis, which is a supergaussianity criterion, is often used. We study the robustness in noisy context of these two algorithms, and compare them with Wiener filtering. We provide some theoretical explanations on the effect of the additive noise. The theoretical arguments are illustrated with a simulation of seismic signals. For such signal, the supergaussianity criterion appears more robust to noise contamination than the whiteness criterion.
Fichier non déposé

Dates et versions

hal-00097192 , version 1 (21-09-2006)

Identifiants

  • HAL Id : hal-00097192 , version 1

Citer

Anthony Larue, Dinh-Tuan Pham. Comparison of supergaussianity and whiteness assumptions for blind deconvolution in noisy context. European Signal Processing Conference - EUSIPCO 2006, Sep 2006, Florence, Italy. ⟨hal-00097192⟩
51 Consultations
0 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More