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
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

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.

Mots clés: Special issues and sections; Stochastic processes; Signal processing; Optimization; Computational modeling; Bayes methods; Data models; Monte Carlo methods

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

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, 2016, vol. 10 (n° 2), pp. 221-223. ⟨10.1109/JSTSP.2016.2524963⟩. ⟨hal-01490737⟩