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Plenary speakers: (speaker names link to videos of their talks)
Francis Bach                   Yi Ma
David J. Brady                Joel Tropp
David L. Donoho            Martin Vetterli
Remi Gribonval              Stephen J. Wright

Also a panoramic image and prints if you wish to purchase from the photographer.

SPARS'11 is hosted by the Edinburgh Compressed Sensing Group (ECoS) in the historic city of Edinburgh, is the fourth edition of the international workshop dedicated to sparsity in signal processing,
with past editions:
SPARS'09, St. Malo (France)  
2007 von Neumann Symposium (SPARS'07), Snowbird Utah (USA)  
SPARS'05, Rennes (France)  

Aims of Workshop :

Over the last five years, theoretical advances in sparse representations have highlighted their potential to impact all fundamental areas of signal processing, from blind source separation to feature extraction and classification, denoising, and detection.

In particular, these techniques are at the core of compressed sensing, an emerging approach which proposes a radically new viewpoint on signal acquisition compared to Shannon sampling. There are also strong connections between sparse signal models and kernel methods, which algorithmic success on large datasets relies deeply on sparsity.

The purpose of the workshop is to present and discuss novel ideas, works and results, both experimental and theoretical, related to this rapidly evolving area of research.