University of Cambridge > Talks.cam > Wednesday Seminars - Department of Computer Science and Technology > Compressed sensing and the art of subsampling

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

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

ℹī¸ Information

Compressed sensing and the art of subsampling

Download to your calendar using vCal

If you have a question about this talk, please contact David Greaves .

The ability to reconstruct data from under sampled information is highly desirable in many areas, ranging from medical imaging and signal processing to statistics and machine learning. The problem of reconstructing from under sampled data can often be formulated as an underdetermined linear system of equations y = Ax, where the size of y is much smaller than the size of x. Compressed sensing offers a solution to this problem by introducing convex optimisation techniques that under certain assumptions allow for reconstruction of x from under sampled information y. I will give an overview of the concept of compressed sensing and also demonstrate its use in practice and some of its rather intriguing effects especially in signal processing and medical imaging.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

THIS Institute in person & via zoom Seminar Room Three, Institute for Manufacturing

Other talks

Geometry and Generalization: The case of Grokking Seminars in Cancer Group Work Title to be confirmed Title to be confirmed title abstract tbc
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity