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Details of Grant 

EPSRC Reference: EP/M008843/1
Title: Compressive Imaging in Radio Interferometry
Principal Investigator: Wiaux, Professor Y
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Rhodes University Swiss Federal Inst of Technology (EPFL) University of Southampton
Department: Sch of Engineering and Physical Science
Organisation: Heriot-Watt University
Scheme: Standard Research
Starts: 01 June 2015 Ends: 31 May 2019 Value (£): 605,742
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
EP/M008886/1 EP/M008916/1
Panel History:
Panel DatePanel NameOutcome
20 Oct 2014 EPSRC ICT Prioritisation Panel - Oct 2014 Announced
09 Sep 2014 EPSRC ICT Prioritisation Panel - Sept 2014 Deferred
Summary on Grant Application Form
The project "Compressive Imaging in Radio Interferometry" (CIRI) aims to bring new advances for interferometric imaging with next-generation radio telescopes, together with theoretical and algorithmic evolutions in generic compressive imaging.

Radio Interferometry (RI) allows observations of the sky at otherwise inaccessible angular resolutions and sensitivities, providing unique information for astrophysics and cosmology. New telescopes are being designed, such as the Square Kilometer Array (SKA), whose science goals range from astrobiology and strong field gravity, to the probe of early epochs in the Universe when the first stars formed. These instruments will target orders of magnitudes of improvement in resolution and sensitivity. In this context, they will have to cope with extremely large data sets. Associated imaging techniques thus literally need to be re-invented over the next few years.

The emerging theory of compressive sampling (CS) represents a significant evolution in sampling theory. It demonstrates that signals with sparse representations may be recovered from sub-Nyquist sampling through adequate iterative algorithms. CIRI will build on the theoretical and algorithmic versatility of CS and leverage new advanced sparsity and sampling concepts to define, from acquisition to reconstruction, next-generation CS techniques for ultra-high resolution wide-band RI imaging and calibration techniques. The new techniques, and the associated fast algorithms capable of handling extremely large data sets on multi-core computing architectures, will be validated on simulated and real data.

Astronomical imaging is not only a target, but also an essential means to trigger novel generic developments in signal processing. CIRI indeed aims to provide significant advances for compressive imaging thereby reinforcing the CS revolution, which finds applications all over science and technology, in particular in biomedical imaging.

CIRI is thus expected to impact science, economy, and society by developing new imaging technologies essential to support forthcoming challenges in astronomy, and by delivering a new class of compressive imaging algorithms that can in turn be transferred to many applications, starting with biomedical imaging.
Key Findings
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Organisation Website: http://www.hw.ac.uk