Skip to content (access key 's')
Logo of Technion
Logo of CS Department
Logo of CS4People

The Taub Faculty of Computer Science Events and Talks

Sparsity Models for Signals: Theory and Applications
event speaker icon
Raja Giryes (Ph.D. Thesis Seminar)
event date icon
Tuesday, 15.10.2013, 11:30
event location icon
Taub 337
event speaker icon
Advisor: Prof. M. Elad
Many signal and image processing applications have benefited remarkably from the theory of sparse representations. In the classical synthesis model, the signal is assumed to have a sparse representation under a given dictionary. In this work we focus on greedy methods for the problem of recovering a signal from a set of deteriorated linear measurements. We consider four different sparsity frameworks that extend the aforementioned synthesis model that target the signal's representation: (i) The cosparse analysis model; (ii) the signal space paradigm; (iii) the transform domain strategy; and (iv) and the sparse Poisson noise model. In the first part of the talk we present extensions for greedy-like algorithms for the synthesis and the first three alternative models. In the second part we consider the Poisson denoising problem with a new Poisson statistics based sparsity model achieving state-of-the-art-results.