Campuses:

Sparsity

Monday, June 4, 2007 - 9:00am - 10:30am
Lind 409
Emmanuel Candès (California Institute of Technology)
After a rapid and glossy introduction to compressive sampling–or compressed sensing as this is also called–the lecture will introduce sparsity as a key modeling tool; the lecture will review the crucial role played by sparsity in various areas such as data compression, statistical estimation and scientific computing.