{"title":"3-D texture model based on the wold decomposition","authors":"Y. Stitou, F. Turcu, M. Najim, L. Radouane","doi":"10.5281/ZENODO.38581","DOIUrl":null,"url":null,"abstract":"This paper deals with the parametric modelling of three-dimensional (3-D) stochastic processes. Based on the 3-D Wold-like decomposition theory, any 3-D discrete homogeneous process can be represented as a sum of three mutually orthogonal components: a completely non deterministic, a “remote past” type deterministic and an evanescent component. The evanescent component can be further decomposed into two orthogonally components called evanescent of type 1 and evanescent of type 2. The aim of this paper is to propose a new parametric models able to describe both the spectral support and spatial structure of each component.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 12th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.38581","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper deals with the parametric modelling of three-dimensional (3-D) stochastic processes. Based on the 3-D Wold-like decomposition theory, any 3-D discrete homogeneous process can be represented as a sum of three mutually orthogonal components: a completely non deterministic, a “remote past” type deterministic and an evanescent component. The evanescent component can be further decomposed into two orthogonally components called evanescent of type 1 and evanescent of type 2. The aim of this paper is to propose a new parametric models able to describe both the spectral support and spatial structure of each component.