OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Classification of chirp signals using hierarchical bayesian learning and MCMC methods

Davy, Manuel and Doncarli, Christian and Tourneret, Jean-Yves Classification of chirp signals using hierarchical bayesian learning and MCMC methods. (2002) IEEE Transactions on Signal Processing, 5 (2). 377-388. ISSN 1053-587X

(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Official URL: http://dx.doi.org/10.1109/78.978392


This paper addresses the problem of classifying chirp signals using hierarchical Bayesian learning together with Markov chain Monte Carlo (MCMC) methods. Bayesian learning consists of estimating the distribution of the observed data conditional on each class from a set of training samples. Unfortunately, this estimation requires to evaluate intractable multidimensional integrals. This paper studies an original implementation of hierarchical Bayesian learning that estimates the class conditional probability densities using MCMC methods. The performance of this implementation is first studied via an academic example for which the class conditional densities are known. The problem of classifying chirp signals is then addressed by using a similar hierarchical Bayesian learning implementation based on a Metropolis-within-Gibbs algorithm.

Item Type:Article
Additional Information:This publication is available at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=78
HAL Id:hal-03604478
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Université Lille 1, Sciences et Technologies - Lille 1 (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > Université de Nantes (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Ecole Centrale de Lille (FRANCE)
Laboratory name:
Deposited On:16 Sep 2009 14:12

Repository Staff Only: item control page