DSPCom

Laboratory of Signal Processing for Communications



Source Separation: Principles and Applications in Multidimensional Signal Processing

Speaker: Prof. Christian Jutten

Affiliation: Gipsa-lab/Université Joseph Fourier, Grenoble, France

Date: 05 August 2010 - 15:00

Room: Sala da Congregação



Abstract: Before the technical part of the talk, I briefly present Grenoble, and especially the University of Grenoble and its scientific environment. Then, I introduce the main principles of source separation methods. The main interest of these approaches is that it can be applied in many problems encountered with multidimensional data, e.g. obtained through a set of sensors. Finally, I present a panorama of applications, in various domains including communications, biomedical signal processing, audio and speech processing, image denoising, chemical sensor arrays, hyperspectral image analysis.

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