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Generalized sampling and infinite-dimensional compressed sensing

Generalized sampling and infinite-dimensional compressed sensing

Released Friday, 25th March 2011
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Generalized sampling and infinite-dimensional compressed sensing

Generalized sampling and infinite-dimensional compressed sensing

Generalized sampling and infinite-dimensional compressed sensing

Generalized sampling and infinite-dimensional compressed sensing

Friday, 25th March 2011
Good episode? Give it some love!
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Hansen, AThursday 24 March 2011, 16:00-17:00

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Compressed Sensing LMS Series 2011

LMS Invited Lecturer 2011Emmanuel Candes, StanfordMarch 21-25 2011Isaac Newton InstituteThe annual Invited Lecturers scheme aims to bring a distinguished overseas mathematician to the United Kingdom to present a small course of about ten lectures spread over a week. Each course of Invited Lectures is on a major field of current mathematical research, and is instructional in nature, being directed both at graduate students beginning research and at established mathematicians who wish to learn about a field outside their own research specialism.Emmanuel Candes will give an eight-lecture minicourse, at a level suitable for graduate students, on Compressed Sensing. This is a subject very much at the interface of pure and applied mathematics and the lectures should interest a wide audience. There will also be one-hour lectures by:Mike Davies (Edinburgh) -Compressed sensing in RFAnders Hansen (Cambridge) -Generalized sampling and infinite-dimensional compressed sensingVincent Rivoirard (Paris-Dauphine) -The Dantzig selector for high dimensional statistical problemsCarola Schoenlieb (Cambridge) -Minimisation of sparse higher-order energies for large-scale problems in imagingMore info at: http://www.dpmms.cam.ac.uk/~bjg23/candeslectures.html

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