Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
564735 | Digital Signal Processing | 2014 | 10 Pages |
Abstract
Also called a Markov switching process, a Double Markov Process (DMP) is an extension of the Hidden Markov Chain (HMC) where the observed process conditionally to the hidden one is modelled by a Markov process. This paper focuses on the estimation of a DMP model, the goal being twofold. First we provide the Cramer–Rao bound of the covariance matrix of any unbiased estimator in order to assess the accuracy limitations. Then we develop a DMP blind estimator for communication through a long memory channel. The results show the benefit of such a modelling in terms of both performance and complexity.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Noura Dridi, Yves Delignon, Wadih Sawaya, Christelle Garnier,