Model-based Matching Pursuit - Estimation of Chirp Factors and Scale of Gabor Atoms with Iterative Extension

Pierre Leveau 1 Laurent Daudet 1 Sacha Krstulovic 2 Rémi Gribonval 2
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : By definition, the Matching Pursuit algorithm with constant (or "flat") Gabor atoms provides a coarse estimate of frequency modulated sinusoids in music and voice signals. Chirped Gabor atoms, closer to the nature of these signals, would fit them in a finer and sparser way. Though a method for the direct analytic estimation of chirped Gabor atoms has been proposed in the past, the present article proposes an alternative method where the chirp factor and scale parameter are estimated through a regression over an iteratively selected chain of small-scale atoms defined by a Short Time Fourier Transform. This new technique suits the Matching Pursuit framework, and is compared with a "flat atoms" version of the algorithm. The influence of various frequency interpolation techniques over the sparsity of the resulting representation is also studied.
Type de document :
Communication dans un congrès
Signal Processing with Adaptive Sparse Structured Representations (SPARS'05), Nov 2005, Rennes, France. 2005, 〈spars05.irisa.fr/ACTES/PS1-8.pdf〉
Liste complète des métadonnées

Littérature citée [4 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00583654
Contributeur : Rémi Gribonval <>
Soumis le : mercredi 6 avril 2011 - 11:08:08
Dernière modification le : vendredi 14 septembre 2018 - 09:56:04
Document(s) archivé(s) le : jeudi 7 juillet 2011 - 02:28:02

Fichier

PS1-8.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00583654, version 1

Citation

Pierre Leveau, Laurent Daudet, Sacha Krstulovic, Rémi Gribonval. Model-based Matching Pursuit - Estimation of Chirp Factors and Scale of Gabor Atoms with Iterative Extension. Signal Processing with Adaptive Sparse Structured Representations (SPARS'05), Nov 2005, Rennes, France. 2005, 〈spars05.irisa.fr/ACTES/PS1-8.pdf〉. 〈inria-00583654〉

Partager

Métriques

Consultations de la notice

471

Téléchargements de fichiers

131