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Date: Thursday September the 13th, 2007
Start Time: 2pm, Building 59, Seminar Room 2 Speaker: Thomas Blumensath, University of Edinburgh In this talk I will give an introductory overview over sparse signal models, discuss some of their theoretic properties, introduce some algorithmic strategy to solve the sparse signal approximation problem and demonstrate the applicability of sparse signal modelling to a range of problems in signal processing. The talk will focus in particular on the emerging technique of compressed sensing. Compressed sensing is a signal acquisition technique that allows signals to be sampled well below the Nyquist rate, provided that the signal admits a sparse representation. |
