Title :
Physics-driven structured cosparse modeling for source localization
Author :
Nam, Sangnam ; Gribonval, Rémi
Author_Institution :
INRIA Rennes - Bretagne Atlantique, Rennes, France
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.
Keywords :
inverse problems; signal synthesis; acoustic inverse problem; heat equation; inverse problems; physics-driven structured cosparse modeling; source localization; wave equation; wave propagation toy model; Analytical models; Boundary conditions; Equations; Inverse problems; Mathematical model; Position measurement; Propagation; Sparsity; analysis operator; cosparsity; dictionary; pursuit algorithm; structured cosparsity;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6289141