GAUSS students secured area

gauss project students secured area

Project:
Computational Compressive Sampling

GAUSS HOME ::

GAUSS seminar presentation (include a statement of the general problems and introduction to the basic ideas)

What you need to do if you choose to do this project:

Rewrite the statement of problem in your own words (what to do).
Read more papers (to be suggested later) on your problem (what has been done)
Work on your problem (just do it)
Meet regularly with your mentors and fellow students in your research group

A Must Read: Terry Tao's excellent blog entry explaining one-pixel camera

Light and Fun Reading List:

AMS What's Happening in Mathematical Sciences, Vol. 7, on comressive sampling: One is Enough
Compressive Sampling in the News: single-pixel camera (USToday, UK, Science Daily, latest), face recognition(ABC, Wired)

Let's get technical:

The classic paper by Candes, Romberg, and Tao
Numerical aspect: L1 and TV minimization by
Tutorial by Candes and Wakin
Lecture note by Baraniuk

Please also visit these site for more information on the topic (compressive sensing, compressive sampling, sparse sampling, sparse optimization, sparsity, dimension reduction):

T. Tao: http://www.math.ucla.edu/~tao/cs
Candes: l1 Magic at http://www.acm.caltech.edu/l1magic
Rice: http://dsp.rice.edu/cs
Blog: The Big Picture http://igorcarron.googlepages.com/cs