dc.contributor.author |
Beghriche, Hanane |
|
dc.contributor.author |
Kharfouchi, Soumia |
|
dc.date.accessioned |
2022-05-25T08:46:14Z |
|
dc.date.available |
2022-05-25T08:46:14Z |
|
dc.date.issued |
2021-04-09 |
|
dc.identifier.uri |
http://depot.umc.edu.dz/handle/123456789/8897 |
|
dc.description.abstract |
Several fields of application such as: astronomy, acoustics, image and signal processing, etc., have used of higher order statistics. They played a crucial role in the identification of a non-minimal phase linear system. Thus, the object of this thesis is the identification of the parameters of a non-minimal phase 2D MA models using higher order cumulants. First, the almost-sure convergence properties of sample estimates of higher order spatial statistics are derived. As a practical framework, we address the problem of identification of 2D moving average (MA) models with non-Gaussian errors based on cumulants alone under a nonminimum phase assumption first and on a generalized method of moments approach after. A simulation study verifies the performance of the proposed methods. |
|
dc.language.iso |
fr |
|
dc.subject |
Mathematiques: Mathématiques Appliquée |
|
dc.subject |
Statistiques spatiales d'ordre supérieur |
|
dc.subject |
phase non minimale |
|
dc.subject |
2D FIR |
|
dc.subject |
almost sure convergence |
|
dc.subject |
الإحصائيات المكانية ذات الدرجة العليا |
|
dc.subject |
المرحلة غير الدنيا |
|
dc.subject |
التقارب المؤكد تقريبا |
|
dc.title |
Les modèles 2D MA à réponse impulsionnelle finie et à phase non minimale. |
|
dc.title |
2D FIR |
|
dc.title |
convergence presque sûre |
|
dc.title |
Higher-order spatial statistics |
|
dc.title |
No minimum phase |
|
dc.title |
2DFR |
|
dc.title |
almost sure convergence |
|
dc.title |
الإحصائيات المكانية ذات الدرجة العليا |
|
dc.title |
المرحلة غير الدنيا |
|
dc.title |
التقارب المؤكد تقريبا |
|
dc.type |
Thesis |
|