International audienceCosparse 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
Inverse problems related to physical processes are of great importance in practically every field re...
International audienceWe investigate the computational performance of the sparse vs cosparse regular...
The aim of this paper is to introduce inversion-based engineering applications and to investigate so...
International audienceCosparse modeling is a recent alternative to sparse modeling, where the notion...
International audienceSolving an underdetermined inverse problem implies the use of a regularization...
International audienceSparse data models are powerful tools for solving ill-posed inverse problems. ...
AbstractAfter a decade of extensive study of the sparse representation synthesis model, we can safel...
International audienceAcoustic source localization is traditionally performed using cues such as int...
International audienceIndoor acoustic source localization can be efficiently performed by modeling t...
Preprint available on arXiv since 24 Jun 2011International audienceAfter a decade of extensive study...
International audienceIn the past decade there has been a great interest in a synthesis-based model ...
The seismic method has many applications. It is important in the critical sector of energy. Besides ...
National audienceThis work aims at comparing several state-of-the-art methods for cosparse signal re...
In this paper, source localization and dereverberation are formulated jointly as an inverse problem....
Inverse problems related to physical processes are of great importance in practically every field re...
International audienceWe investigate the computational performance of the sparse vs cosparse regular...
The aim of this paper is to introduce inversion-based engineering applications and to investigate so...
International audienceCosparse modeling is a recent alternative to sparse modeling, where the notion...
International audienceSolving an underdetermined inverse problem implies the use of a regularization...
International audienceSparse data models are powerful tools for solving ill-posed inverse problems. ...
AbstractAfter a decade of extensive study of the sparse representation synthesis model, we can safel...
International audienceAcoustic source localization is traditionally performed using cues such as int...
International audienceIndoor acoustic source localization can be efficiently performed by modeling t...
Preprint available on arXiv since 24 Jun 2011International audienceAfter a decade of extensive study...
International audienceIn the past decade there has been a great interest in a synthesis-based model ...
The seismic method has many applications. It is important in the critical sector of energy. Besides ...
National audienceThis work aims at comparing several state-of-the-art methods for cosparse signal re...
In this paper, source localization and dereverberation are formulated jointly as an inverse problem....
Inverse problems related to physical processes are of great importance in practically every field re...
International audienceWe investigate the computational performance of the sparse vs cosparse regular...
The aim of this paper is to introduce inversion-based engineering applications and to investigate so...