Sciweavers

Share
ICASSP
2009
IEEE

Bayesian Pursuit algorithm for sparse representation

10 years 4 months ago
Bayesian Pursuit algorithm for sparse representation
In this paper, we propose a Bayesian Pursuit algorithm for sparse representation. It uses both the simplicity of the pursuit algorithms and optimal Bayesian framework to determine active atoms in sparse representation of a signal. We show that using Bayesian Hypothesis testing to determine the active atoms from the correlations leads to an efficient activity measure. Simulation results show that our suggested algorithm has better performance among the algorithms which have been implemented in our simulations in most of the cases.
Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutt
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutten
Comments (0)
books