10.07.2015 Views

Modèles de Markov triplets en restauration des signaux

Modèles de Markov triplets en restauration des signaux

Modèles de Markov triplets en restauration des signaux

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

BIBLIOGRAPHIE[31] O. L. V. Costa, M. D. Fragoso, and R. P. Marques. Discrete time markovjump linear systems. Springer-Verlag, New York, 2005.[32] Y. Delignon, A. Marzouki, and W. Pieczynski. Estimation of g<strong>en</strong>eralized mixtureand its application in image segm<strong>en</strong>tation. IEEE Trans. on Image Processing,6(10) :1364–1375, 1997.[33] J. P. DELMAS. Relations <strong>en</strong>tre les algorithmes d’estimation iteratives em etice avec exemples d’applications. GRETSI Groupe d’Etu<strong>de</strong>s du Traitem<strong>en</strong>t duSignal et <strong>de</strong>s Images, pages 185–188, 1995.[34] A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood fromincomplete data via the em algorithm. J. of the Royal Statistical Society SeriesB, 39 :1–38, 1977.[35] S. Derro<strong>de</strong> and W. Pieczynski. Signal and image segm<strong>en</strong>tation using pairwisemarkov chains. IEEE Trans. on Signal Processing, 6(52) :2477–2489, 2004.[36] F. Desbouvries and W. Pieczynski. Modèles <strong>de</strong> markov triplet et filtrage<strong>de</strong> kalman, triplet markov mo<strong>de</strong>ls and kalman filtering. Comptes R<strong>en</strong>dus <strong>de</strong>l’Académie <strong>de</strong>s Sci<strong>en</strong>ces, 336(8) :667–670, Février 2003.[37] P. A. Devijver. Baum’s forward-backward algorithm revisited. Pattern Recognition,3(6) :369–373, 1985.[38] A. M. Djafari. Entropie <strong>en</strong> traitem<strong>en</strong>t du signal. cnrs-supélec-ups.[39] A. M. Djafari and G. Demom<strong>en</strong>t. Using <strong>en</strong>tropy in image reconstruction and<strong>restauration</strong>. Traitem<strong>en</strong>t du signal, 5(4) :235–248, 1988.[40] A. Doucet, A. N. Gordon, and V. Krishnamurthy. Particle filters for stateestimation of jump markov linear systems. IEEE Trans. On Signal Processing,49 :613–624, 2001.[41] Tyrone E. Duncan. Some applications of fractional brownian motion to linearsystems. Springer, 1999.[42] J. B. Durand. Modèles à structure cachée : infér<strong>en</strong>ce, sélection <strong>de</strong>s modèles etapplications. Mathématiques appliquées, Université Gr<strong>en</strong>oble I-Joseph Fourier,2003.[43] B. Ait el Fquih and F. Debouvries. Kalman filtering in triplet markov chains.IEEE Trans. on Signal Proccessing, 54(8) :2957–2963, 2006.[44] B. Ait el Fquih and F. Desbouvries. Bayesian smoothing algorithms in pairwiseand triplet markov chains. In Proceedings of the 2005 IEEE Workshop onStatistical Signal Processing, Bor<strong>de</strong>aux, France, July 17-20 2005.[45] B. Ait el Fquih and F. Desbouvries. Exact and approximate bayesian smoothingalgorithms in partially observed markov chains. In Proceedings of theIEEE Nonlinear Statistical Signal Processing Workshop (NSSPW’06), Cambridge,UK, September 13-15 2006.[46] B. Ait el Fquih and F. Desbouvries. Kalman filtering in triplet markov chains.IEEE Trans. on Signal Processing, 54(8) :57–63, August 2006.[47] B. Ait el Fquih and F. Desbouvries. On bayesian fixed-interval smoothingalgorithms. IEEE Trans. on Automatic Control, 53(10) :2437–2442, November2008.131

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!