Conference Chairs
Dimitri Van De Ville, Ecole Polytechnique Fédérale de Lausanne (Switzerland); Vivek K. Goyal, Massachusetts Institute of Technology (United States); Manos Papadakis, Univ. of Houston (United States)
Program Committee
Sophie Achard, Gipsa-lab (France); Akram Aldroubi, Vanderbilt Univ. (United States); Radu V. Balan, Univ. of Maryland, College Park (United States); Bernhard G. Bodmann, Univ. of Houston (United States); Peter G. Casazza, Univ. of Missouri-Columbia (United States); Pier Luigi Dragotti, Imperial College London (United Kingdom); Jalal M. Fadili, ENSICAEN (France); Onur G. Guleryuz, FutureWei Technologies, Inc. (United States); Mathews Jacob, The Univ. of Iowa (United States); Matthew Fickus, Air Force Institute of Technology (United States); Ilya A. Krishtal, Northern Illinois Univ. (United States); Gitta Kutyniok, Technische Univ. Berlin (Germany); Demetrio Labate, Univ. of Houston (United States); Andrew F. Laine, Columbia Univ. (United States); Michael Liebling, Univ. of California, Santa Barbara (United States); Yue M. Lu, Harvard Univ. (United States); Jean-Christophe Olivo-Marin, Institut Pasteur (France); Jonas Richiardi, Stanford Univ. (United States); Ivan W. Selesnick, Polytechnic Institute of New York Univ. (United States); Michael Unser, Ecole Polytechnique Fédérale de Lausanne (Switzerland); Yves Wiaux, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
This long-running series provides a forum for presentation of results in theory and applications of sparse representations. Originally, the focus of this conference series was on wavelets, but in the course of many successful meetings the topics have expanded and now encompass the entire domain of the theory and applications of all signals that have sparse representations or approximations regardless of their dimensionality. The conference welcomes original papers on the mathematics of signal and image processing and analysis and in all areas of mathematical sciences that are affected fundamentally by the choice of signal representation. The series distinguishes itself by successfully straddling disciplinary boundaries; it has drawn preeminent researchers in mathematics, signal and image processing and analysis, computer vision, medical imaging, neuroscience, physics, and other fields. It focuses on novel applications of signal analysis and processing methods, refinements of existing techniques, and new theoretical developments.

Wavelets and Sparsity XV will be a special edition (20 years of existence) and we will celebrate this occasion with special sessions and top keynote speakers.

Topics for submission may include (but are not limited to):

wavelet theory and multirate filterbanks
overcomplete representations in finite- and infinite-dimensional spaces
new constructions of bases and frames for sparse representations
time-frequency analysis
sparse representations in physics, neuroscience, and bioimaging, visualization computational geometry, and face recognition
multiresolution surface representations and graphics
fractal analysis and multiscale random processes
wavelets and approximation theory, sampling, and operator theory
applications in communications, radar, sonar, imaging, etc.
compressed sensing
algorithms for estimation and detection of sparse signals
sigma-delta quantization.

Note: Please follow the submission instructions below carefully. Submit an extended abstract of 2 pages including as many figures as needed (in addition to the 250 word text-only Abstract required by SPIE), and include a summary cover sheet that includes:

1. Description of the problem addressed: why is it important?
2. Description of the original contribution of this work: how does it compare with previous work on the problem and work on similar problems?

Please visit http://www.waveletseries.org for a history of this event.