{"title":"Interpolation algorithms of the non gaussian process at the output of the non linear non inertial converter","authors":"V. Kazakov, M. Sedeño","doi":"10.1109/MMET.2008.4581015","DOIUrl":null,"url":null,"abstract":"The sampling - reconstruction procedure (SRP) of a non Gaussian process at the output of the non linear non inertial converter driven by Gaussian process is considered. The type of the converter is exponential. The principal SRP characteristics (the reconstruction function and the error reconstruction function) are investigated for two different reconstruction algorithms. The first algorithm is based on the conditional mean rule. It provides the optimal the reconstruction function and the minimum of the error reconstruction function. The second algorithm is connected with the formulas for the Gaussian processes. This algorithm is no optimal. There is a comparison between both variants.","PeriodicalId":141554,"journal":{"name":"2008 12th International Conference on Mathematical Methods in Electromagnetic Theory","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 12th International Conference on Mathematical Methods in Electromagnetic Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMET.2008.4581015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The sampling - reconstruction procedure (SRP) of a non Gaussian process at the output of the non linear non inertial converter driven by Gaussian process is considered. The type of the converter is exponential. The principal SRP characteristics (the reconstruction function and the error reconstruction function) are investigated for two different reconstruction algorithms. The first algorithm is based on the conditional mean rule. It provides the optimal the reconstruction function and the minimum of the error reconstruction function. The second algorithm is connected with the formulas for the Gaussian processes. This algorithm is no optimal. There is a comparison between both variants.