Thomas Blumensath just sent me this :I am currently organising a special session on compressed sensing and sub-Nyquist sampling to be held at the 16th International Conference on Digital Signal Processing (DSP2009) in Santorini, Greece, July 5-7, 2009. In addition to invited papers, I also encourage general contributions from the wider community.
The call for papers can be found here:
http://www.see.ed.ac.uk/~tblumens/DSP2009_CS_SpecialSession-CFP.pdf
More information on the conference is available here:
http://www.dsp2009.org/
From the pdf:
Submissions are invited for a special session on Compressed Sensing and Sub-Nyquist Sampling to be held at the 16th International Conference on Digital Signal Processing (DSP2009) in Santorini, Greece, July 5-7, 2009.For over 50 years, sampling theory has been focused around a result attributed to, among others, Nyquist and Shannon, stating that signals that are band-limited can be sampled and reconstructed using samples taken at a rate greater than twice the signal bandwidth. Recently, the focus has shifted to signals with structures other than band-limitedness. Two types of signal models stand out. In compressed sensing a sparse signals model is assumed, that is, signals are assumed to be well approximated using a small number of basis elements. The other model is the finite rate of innovations model, which is a parametric signal model that has a finite number of degrees of freedom in each time interval. Both of these models allow the derivation of sampling procedures and reconstruction algorithms. Importantly, the required number of samples is generally proportional to the information content of the signal which can be significantly lower than the number of samples required by the Nyquist limit. At the heart of current research into compressed sensing and other sub-Nyquist sampling methods is the interplay between signal models, sampling operators and reconstruction algorithms. Important questions revolve around the specification of accurate signal models that exploit signal structure, the development and study of sampling systems that preserve the relevant signal information and the derivation of fast and provably efficient algorithms to reconstruct the signal form the samples.This special session on Compressed Sensing and Sub-Nyquist Sampling, to be held in Santorini during the 2009 16th International Conference on Digital Signal Processing (July 5 – July 7, 2009), is a dedicated session that aims to bring together a diverse range of current work in this fast developing and interdisciplinary field. Contributions are solicited in the broad area of compressed sensing and other sub-Nyquist sampling methods. Topics can include, but are not limited to:
- Signal models
- Finite rate of innovations models
- Sparse models
- Tree structures
- Positivity constraints
- Multiple measurement vectors
- Measurement system properties and design
- Recovery algorithms
- Bayesian methods
- Theoretical aspects
- High dimensional geometry
- Information Theory
- Performance bounds
- Analogue to information conversion
- Finite rate of innovations sampling
- Analogue compressed sensing
- Applications
- Imaging
- Distributed sensing
- Communications
Important Dates
Deadline for paper submission – Special Session February 15, 2009
Acceptance Notification March 15, 2009
This event was added to the calendar.
Credit photo: me. Greenland looking South from a plane at 30,000 feet.
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