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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, 6 Jean-Christophe Pesquet 7
1 HWU - Heriot-Watt University [Edinburgh]
2 University of Bristol [Bristol]
3 University of Michigan [Ann Arbor]
4 IRIT-MINDS - CoMputational imagINg anD viSion
IRIT - Institut de recherche en informatique de Toulouse
5 TéSA - Télécommunications Spatiales et Aéronautiques - Telecommunications for Space ant Aeronautics
6 Toulouse INP - Institut National Polytechnique (Toulouse)
7 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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Submitted on : Wednesday, March 15, 2017 - 5:46:27 PM
Last modification on : Tuesday, March 22, 2022 - 8:45:50 AM
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 | UNIV-PARIS-SACLAY | INSTITUT-TELECOM | IRIT | TESA | IRIT-SI | IRIT-MINDS | IRIT-INPT

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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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