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Some Sparse Recovery Methods in Compressed Sensing

Presented by: 
Song Li Zhejiang University, Zhejiang University
Date: 
Friday 22nd February 2019 - 11:00 to 11:35
Venue: 
INI Seminar Room 1
Abstract: 
In this talk, I shall investigate some sparse recovery methods in Compressed Sensing. In particular, I will focus on RIP approach and D-RIP approach.  As a result, we confirmed a conjecture on RIP, which is related to Terence. Tao and Jean. Bourgain's works in this fields.  Then, I will also investigate the relations between our works and statistics.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons