University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Some Sparse Recovery Methods in Compressed Sensing

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Some Sparse Recovery Methods in Compressed Sensing

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact INI IT.

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

The History of Science The Shrinking Commons Symposium: Plenary Lectures ‘Diglossia, Bidialectalism, or Bilingualism? Portuguese as a Foreign Language in the Classroom’

Other talks

The Continuum Hypothesis Parasitic plants Optimal Confidence for Monte Carlo Integration of Smooth Functions Glucose monitoring for diabetes The neural fingerprints of a missing hand: from phantoms to artificial limbs
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity