Institute for Mathematical Innovation

One Day on Compressive Sensing

Advances in theory, algorithms, and applications

 

University of Bath, 1 June 2017 

 

Compressive-sensing-imageCompressive sensing is a powerful mathematical theory widely used in Statistics, Computer Science, Engineering and Physics.

Central to this theory is that sparse quantities can be reconstructed using a small number of random measurements.

Recent years have seen an explosion of research activities within this interdisciplinary field, and compressive sensing techniques have now become of key importance in signal processing applications, including medical and astronomical imaging.

 

Bringing together world-renowned experts and early career researchers, this workshop will:

  • give participants a common understanding of the theory of compressive sensing
  • present recent theoretical and algorithmic developments within the field
  • address key applications


The workshop will also cover interconnected areas including: 

  • sampling paradigms
  • theoretical estimates and algorithms for recovery
  • TV regularisation
  • radio-interferometric astronomical imaging
  • tomographic imaging

Throughout the workshop, there will be ample networking opportunities aimed at fostering collaborations between scientists in the field of compressive sensing. 

REGISTRATION IS NOW CLOSED

 

Workshop programme 

09:00
Registration and coffee
09:25
Welcome and initial remarks                                                                       
09:30
Dr Silvia Gazzola, Department of Mathematical Sciences, University of Bath
 
Introduction to Compressive Sensing  
11:00
Coffee and discussions
11:20
Dr Thomas Blumensath, Faculty of Engineering and the Environment, University of Southampton
 
Greedy algorithms for Compressed Sensing
12:05
Dr Xiaohao Cai, Mullard Space Science Laboratory, University College London
 
High-Dimensional Uncertainty Estimation with Sparse Priors for Radio Interferometric Imaging
12:50
Lunch and discussions
13:40
Professor Jared Tanner, Mathematical Institute, University of Oxford
 
Compressed session with expander graphs: robust-l0 decoding
14:25
Dr Clarice Poon, Centre for Mathematical Sciences, University of Cambridge
 
Breaking the coherence barrier in compressed sensing
15:10
Coffee and discussions
15:30
Dr Marta Betcke, Department of Computer Science, University College London
 
Structured guided Total Variation
16:15
Dr Yves van Gennip, School of Mathematical Sciences, University of Nottingham
 
Blind deblurring and graph based segmentation for images
17:00 - 17:30
Concluding remarks & reception

 

Venue: University of Bath, Claverton Down, Bath, BA2 7AY - Building 4 West, Room 1.1

 

Workshop organiser

Dr Silvia Gazzola, Department of Mathematical Sciences, University of Bath

For further information about the workshop, contact Institute for Mathematical Innovation at imi-events@bath.ac.uk

 

Workshop supporters

The workshop was supported by an LMS 'Celebrating New Appointments' grant, the Institute for Mathematical Innovation, and the Faculty of Science at the University of Bath.

 

Workshop presentations