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Chaînes de Markov cachées multivariées à bruit corrélé non gaussien, avec applications à la segmentation du signal radar
| Content Provider | Semantic Scholar |
|---|---|
| Author | Brunel, Nicolas Pieczynski, Wojciech Barbaresco, Frédéric |
| Copyright Year | 2005 |
| Abstract | We propose a multivariate signal model with temporal and spectral dependence, well-fitted for the modeling of Radar signals. The proposed model is a Hidden Markov Chain for which observations are Spherically Invariant Random Vectors (SIRV), and temporal correlation is described by a copula. It is still possible to estimate the parameters of the SIRV, and we study the robustness of the estimation under different kinds of copulas and various strength of dependence. Finally, we explore the influence of an omitted dependence for statistical segmentation of Radar signals based on Hidden Markov Chains. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/14025/A433_52239.pdf;sequence=1 |
| Alternate Webpage(s) | http://www-public.int-evry.fr/~pieczyn/C72.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
