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BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)
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Seminar 00041.txt

Hybrid waveform audio models
Dr. Bruno Torresani, Université de Provence, Marseille, France

Seminar • 24 June 2004 • CO-015

Abstract
Audiophonic signals have the peculiarity of involving significantly different components (transients, tonals,...). We describe the main features of a novel approach for modeling and coding such signals. The approach combines non-linear transform coding and structured approximation techniques (using simultaneously local cosine and wavelet bases), together with hybrid modeling of the signal class under consideration. In a few words, several different components of the signal are estimated and transform coded using an appropriately chosen orthonormal basis. We will discuss different random signal models and corresponding estimation procedures, and provide numerical results and audio illustrations. This talk is based on joint works with Laurent Daudet and Stéphane Molla, and previous collaborations with P. Guillemain and R. Kronland-Martinet.
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