Laurent Daudet: Sampling acoustic fields

Please note that the room has changed and this talk will now take place at 550 Sherbrooke St West.

 

ABSTRACT

There are a number of applications where one wishes to know the acoustic field within a whole spatial domain, while in most cases, we can only make point measurements (ie, with microphones). Even with few sources, this remains a difficult problem because of the reverberation, which can be difficult to characterize. This can be seen as a sampling / interpolation problem, which raises a number of interesting questions: how many sample points are needed, where to choose the sampling points, etc. In this presentation, we will review some case studies, in 2D (vibrating plates) and 3D (room acoustics), with numerical and experimental data, where we have developed sparse models, possibly with additional 'structures', based on a physical modeling of the acoustic field. These type of models are well suited to reconstruction techniques known as compressive sampling.

 

ABOUT LAURENT DAUDET

Laurent Daudet is professor of physics at Paris Diderot University, France. After a physics education at the Ecole Normale Superieure in Paris, he received in 2000 a Ph.D. degree in applied mathematics from the Université de Provence. He was then a EU Marie Curie Post-doctoral Fellow at the Centre for Digital Music at Queen Mary University of London, UK. Between 2002 and 2009, he has been working as assistant / associate professor at UPMC - Paris 6, in the D'Alembert Institute for Mechanical Engineering. Since 2009, he is full Professor at the Paris Diderot University - Paris 7, with research at the Langevin Institute for Waves and Images. In october 2010, he was nominated junior member of the Institut Universitaire de France, a 5-year fellowship to foster excellence in academic research. He serves as associate editor for the IEEE Transactions on Audio Speech and Language Processing, and is author or coauthor of more than 100 publications on various aspects of digital signal processing, mostly based on sparse decompositions with applications to audio and acoustics.

Home Page : http://www.institut-langevin.espci.fr/Laurent-Daudet,207