Reconstruction and subgaussian operator
- Date: 03/27/2007
Lecturer(s):
Alain Pajor (Universite de Marne-la-Vallee)
Location:
University of British Columbia
Topic:
Candes, Romberg and Tao recently studied problems of approximate and
exact reconstruction of sparse signals from incomplete random
measurements and related them to the eigenvalue behavior of submatrices
of matrices of random measurements. In particular they introduced the
notion they called the 'uniform uncertainty principle' (UUP) and
studied it for Gaussian, Bernoulli and Fourier ensembles. We shall
introduce a different--geometric--approach to approximate and exact
reconstruction problem which yields to a more general setting for all
subgaussian random measurements.
Other Information:
DG-MP-PDE Seminar 2007
Sponsor:
