SCAIM Seminar: Irad Yavneh
- Date: 09/10/2013
- Time: 12:30
University of British Columbia
A Multilevel Algorithm for L1 Minimization with Application to Sparse Representation of Signals
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.
Location: PIMS Lounge, ESB 4133