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Some Sparse Recovery Methods in Compressed Sensing

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ASCW01 - Challenges in optimal recovery and hyperbolic cross approximation

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.

This talk is part of the Isaac Newton Institute Seminar Series series.

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