{"title":"基于软计算概念的离散信号配准","authors":"E. D. Bychkov, Dmitriy S. Luzan, D. V. Belenkov","doi":"10.1109/DYNAMICS.2018.8601419","DOIUrl":null,"url":null,"abstract":"In this paper we review the registration of a binary element in a discrete channel with erasure using a nonlinear scale constructed on the basis of a fuzzy membership function, the concept of fuzzy sets theory. The source of information loss of a binary element is shown when it is recorded in a traditional way. The mechanism of compensation of information losses on the basis of a nonlinear scale is given.","PeriodicalId":394567,"journal":{"name":"2018 Dynamics of Systems, Mechanisms and Machines (Dynamics)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Registration of Discrete Signals Based on the Soft Computing Concept\",\"authors\":\"E. D. Bychkov, Dmitriy S. Luzan, D. V. Belenkov\",\"doi\":\"10.1109/DYNAMICS.2018.8601419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we review the registration of a binary element in a discrete channel with erasure using a nonlinear scale constructed on the basis of a fuzzy membership function, the concept of fuzzy sets theory. The source of information loss of a binary element is shown when it is recorded in a traditional way. The mechanism of compensation of information losses on the basis of a nonlinear scale is given.\",\"PeriodicalId\":394567,\"journal\":{\"name\":\"2018 Dynamics of Systems, Mechanisms and Machines (Dynamics)\",\"volume\":\"132 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Dynamics of Systems, Mechanisms and Machines (Dynamics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DYNAMICS.2018.8601419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Dynamics of Systems, Mechanisms and Machines (Dynamics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYNAMICS.2018.8601419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Registration of Discrete Signals Based on the Soft Computing Concept
In this paper we review the registration of a binary element in a discrete channel with erasure using a nonlinear scale constructed on the basis of a fuzzy membership function, the concept of fuzzy sets theory. The source of information loss of a binary element is shown when it is recorded in a traditional way. The mechanism of compensation of information losses on the basis of a nonlinear scale is given.