Skip to Main content Skip to Navigation
Conference papers

Physics-driven structured cosparse modeling for source localization

Sangnam Nam 1 Rémi Gribonval 1 
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Cosparse modeling is a recent alternative to sparse modeling, where the notion of dictionary is replaced by that of an analysis operator. When a known analysis operator is well adapted to describe the signals of interest, the model and associated algorithms can be used to solve inverse problems. Here we show how to derive an operator to model certain classes of signals that satisfy physical laws, such as the heat equation or the wave equation. We illustrate the approach on an acoustic inverse problem with a toy model of wave propagation and discuss its potential extensions and the challenges it raises.
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-00659405
Contributor : Sangnam Nam Connect in order to contact the contributor
Submitted on : Thursday, January 12, 2012 - 4:47:49 PM
Last modification on : Friday, February 4, 2022 - 4:17:18 AM
Long-term archiving on: : Monday, November 19, 2012 - 1:30:09 PM

File

cmsl.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00659405, version 1

Citation

Sangnam Nam, Rémi Gribonval. Physics-driven structured cosparse modeling for source localization. Acoustics, Speech and Signal Processing, IEEE International Conference on (ICASSP 2012), Mar 2012, Kyoto, Japan. ⟨hal-00659405⟩

Share

Metrics

Record views

349

Files downloads

436