SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Restoring hidden non stationary process using triplet partially Markov chain with long memory noise

Author(s)

Wojciech Pieczynski	INT
Pierre Lanchantin	INT

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Abstract

The hidden Markov chains (HMC), which are widely used in different data restoration problems, have recently been generalised to pairwise partially Markov chains (PPMC), in which the distribution of the observed chain conditional on the hidden one is of any form. In particular, long-memory noise cases can be dealt with. The aim of this paper is to propose a parameter estimation methode and to show, via experiments, that unsupervised PPMC based image segmentation can perform better, when the noise is a long-memorey one, then the the classical HMC based methods.