2009, English, Article edition: Bayesian Pursuit Algorithm for Sparse Representation Zayyani, Hadi; Babaie-Zadeh, Massoud; Jutten, Christian

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Physical Description
  • text
Published
  • HAL - CCSD
  • 2009
Language
  • English

Edition details

Title
  • Bayesian Pursuit Algorithm for Sparse Representation
Author
  • Zayyani, Hadi
  • Babaie-Zadeh, Massoud
  • Jutten, Christian
Published
  • HAL - CCSD
  • 2009
Physical Description
  • text
Subjects
Notes
  • 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.
  • HAL:hal-00400478, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00400478/​en/​
Language
  • English
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