Robust compressive sampling and connections with statistics (continued)

Tuesday, June 12, 2007 - 9:00am - 10:30am
Lind 409
Emmanuel Candès (California Institute of Technology)
We show that accurate estimation from noisy undersampled data is sometimes possible and connect our results with a large literature in statistics concerned with high dimensionality; that is, situations in which the number of observations is less than the number of parameters.