A Class of Algorithms for Time-Frequency Multiplier Estimation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Audio, Speech and Language Processing Année : 2013

A Class of Algorithms for Time-Frequency Multiplier Estimation

Résumé

We propose here a new approach together with a corresponding class of algorithms for offline estimation of linear operators mapping input to output signals. The operators are modelled as multipliers, i.e. linear and diagonal operator in a frame or Bessel representation of signals (like Gabor, wavelets ...) and characterized by a transfer function. The estimation problem is formulated as a regularized inverse problem, and solved using iterative algorithms, based on gradient descent schemes. Various estimation problems, which differ by a choice for the regularization function, are studied in the case of Gabor multipliers. The transfer function actually provides a meaningful interpretation of the differences between the two signals or signal classes under consideration, and examples are discussed. Furthermore, examples of signal transformations with such Gabor transfer functions are also given.
Fichier principal
Vignette du fichier
Olivero.pdf (3.27 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00870302 , version 1 (07-10-2013)

Identifiants

Citer

Anaïk Olivero, Bruno Torrésani, Richard Kronland-Martinet. A Class of Algorithms for Time-Frequency Multiplier Estimation. IEEE Transactions on Audio, Speech and Language Processing, 2013, 21 (8), pp.1550 - 1559. ⟨10.1109/TASL.2013.2255274⟩. ⟨hal-00870302⟩
364 Consultations
301 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More