@inproceedings{17fbfd7f91484b469b1c002e6422d05f,
title = "Unsupervised signal restoration using Copulas and pairwise Markov chains",
abstract = "This work is about the statistical restoration of hidden discrete signals. The problem we deal with is how to take into account, in recent pairwise and triplet Markov chain context, complex noises that can be non-Gaussian, correlated, and of class-varying nature. We propose to solve this modeling problem using Copulas. The interest of the new modeling is validated by experiments performed in supervised and unsupervised context. In the latter, all parameters are estimated from the only observed data by an original method.",
keywords = "Bayesian methods, Context modeling, Hidden Markov models, Parameter estimation, Probability, Signal processing, Signal restoration, Stochastic processes, Writing, Zinc",
author = "N. Brunel and W. Pieczynski",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE Workshop on Statistical Signal Processing, SSP 2003 ; Conference date: 28-09-2003 Through 01-10-2003",
year = "2003",
month = jan,
day = "1",
doi = "10.1109/SSP.2003.1289350",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
pages = "102--105",
booktitle = "Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003",
}