• Date: 09/10/2013
• Time: 12:30
Lecturer(s):
Location:

University of British Columbia

Topic:

A Multilevel Algorithm for L1 Minimization with Application to Sparse Representation of Signals

Organizers:

The area of sparse representation of signals is drawing tremendous attention in recent years in diverse fields of science and engineering. The idea behind the model is that a signal can be approximated as a linear combination of a few "atoms'' from a pre-specified and over-complete "dictionary'' (typically represented by columns from a matrix with more columns than rows). The sparse representation of a signal is often achieved by minimizing an L1 penalized least squares functional.

Other Information:

Location: PIMS Lounge, ESB 4133