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SAMPTA'09, International Conference on SAMPling Theory and Applications, Laurent Fesquet and Bruno Torrésani (Ed.) (2010) 384
SAMPTA'09, International Conference on SAMPling Theory and Applications
Laurent Fesquet 1, Bruno Torrésani 2
(2010-02-10)

SAMPTA'09 was the 8th international conference on Sampling Theory and Applications. The previous conferences were held in Riga (Latvia) in 1995, Aveiro (Portugal) in 1997, Loen (Norway) in 1999, Orlando (USA) in 2001, Salzburg (Austria) in 2003, Samsun (Turkey) in 2005 and Thessaloniki (Greece) in 2007. The next SAMPTA conference will be held in Singapore, in May 2011. The purpose of SAMPTA's is to bring together mathematicians and engineers interested in sampling theory and its applications to related fields (such as signal and image processing, coding theory, control theory, complex analysis, harmonic analysis, differential equations) to exchange recent advances and to discuss open problems. SAMPTA09 has been organized around plenary lectures, general sessions on sampling and applications, and special sessions on selected topics. Ample time was left for discussions. The topics of the special sessions were the following:Compensation of channel mismatch errors in time-interleaved analog-to-digital converters, Compressed sensing, Mathematical aspects of compressed sensing, Frame theory and oversampling, Geometric multiscale analysis, Sampling and quantization, Sampling and communication, Sampling and painting, Sampling and industrial applications, Sampling using finite rate of innovation principles, Sparse approximation and high-dimensional geometry.
1:  Techniques of Informatics and Microelectronics for integrated systems Architecture (TIMA)
CNRS : UMR5159 – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
2:  Laboratoire d'Analyse, Topologie, Probabilités (LATP)
CNRS : UMR6632 – Université de Provence - Aix-Marseille I – Université Paul Cézanne - Aix-Marseille III
Engineering Sciences/Signal and Image processing

Mathematics/Classical Analysis and ODEs

Mathematics/Information Theory

Computer Science/Information Theory and Coding

Computer Science/Signal and Image Processing
Sampling Theory – Frame Theory – Time-Frequency – Wavelets – Geometric multiscale analysis – Sparse approximation – High-Dimensional Geometry – Compressed sensing – Finite Rate of Innovation Principles – Quantization – Communication – Industrial Applications
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