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Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing

Stephen Mc Laughlin 1 Marcelo Alejandro Pereyra 2 Alfred O. Hero 3 Jean-Yves Tourneret 4, 5 Jean-Christophe Pesquet 6
1 HWU - Heriot-Watt University [Edinburgh]
2 University of Bristol [Bristol]
3 University of Michigan [Ann Arbor]
4 IRIT-SC - Signal et Communications
IRIT - Institut de recherche en informatique de Toulouse
5 TéSA - Télécommunications Spatiales et Aéronautiques - Telecommunications for Space ant Aeronautics
6 LIGM - Laboratoire d'Informatique Gaspard-Monge
Abstract : The papers in this special issue seek to report cutting edge research on stochastic simulation and optimisation methodologies, and their application to challenging SP problems that are not well addressed by existing methodologies.
Keywords : Data models Bayes methods Computational modeling Optimization Special issues and sections Stochastic processes Signal processing Monte Carlo methods
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01490737
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Wednesday, March 15, 2017 - 5:46:27 PM
Last modification on : Thursday, March 18, 2021 - 2:15:57 PM
Long-term archiving on: : Friday, June 16, 2017 - 3:04:09 PM

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CNRS | UPEC-UPEM | SMS | UNIV-TLSE2 | LIGM_SIGNAL | LIGM | ENPC | PARISTECH | ESIEE-PARIS | UNIV-TLSE3 | UT1-CAPITOLE | INSTITUT-TELECOM | IRIT | IRIT-SC | TESA | IRIT-SI

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Stephen Mc Laughlin, Marcelo Alejandro Pereyra, Alfred O. Hero, Jean-Yves Tourneret, Jean-Christophe Pesquet. Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2016, vol. 10 (n° 2), pp. 221-223. ⟨10.1109/JSTSP.2016.2524963⟩. ⟨hal-01490737⟩

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