Aims of the workshop:
By the advent of increased computing capabilities, along with recent theoretical and numerical breakthroughs in the fields of Signal Processing, Advanced Sparse Signal Representations, Inverse Problem solving and Convex Optimization, the term “Sensing” is no more a synonym for directly rendering human readable signals. More efficient systems than state of the art can be built by strongly interconnecting sensor design, signal reconstruction algorithms and prior knowledge of the signals of interest. This is for instance the paradigm shift advocated by the recent theory of Compressed Sensing (CS).
The aim of iTWIST '12 workshop is to gather researchers studying sparse signal models in general (e.g., model based or structured sparsity, cosparsity, compressibility, ...), from a theoretical and/or an applied point of view, whatever the signal geometry (1D, nD, graph, video, ...).One implicit objective of this workshop is to foster collaboration between international scientific teams by disseminating ideas through specific presentations. This event will take place in the "Centre International de Rencontres Mathématiques" (CIRM), surrounded by the wonderful Calanques landscape of Marseille.



 Topics:
This first iTWIST workshop will deal with the central theme of
"Generalized sparsity in highdimensional geometries",
and the range of topics will include (but may not be limited to):
 Graph theory and applications
 Dictionary learning
 Sparse models in machine learning
 Compressed sensing
 Emerging and innovative acquisition technologies such as:
 compressive imagers
 hyperspectral imaging
 analog to information converter
 coded aperture system
 computational photography
 any other
 Applications to reallife problems (astronomy, biomedical, industry, multimedia and any other field ... ).
