{"title":"二维测量光纤网络","authors":"Y. Kulchin, O. B. Vitrlk, O. Kirichenko","doi":"10.1109/IEMT.1993.639769","DOIUrl":null,"url":null,"abstract":"Today mu1 t idimensional signal processing (EP) methods is of great interest. Tomography rinciples of data obtaining and process 9 ng can be very useful for like fiber-optic measuri network for distribution functions reconstruction is suggested. Network performances, reconstruction accuracyI reconstruction rocedure re uirements are discussed and ! ested gested network is made and tested. with theoretical predictions. these methods. A distribute tomographymultidimensional physical Y elds parameter","PeriodicalId":170695,"journal":{"name":"Proceedings of Japan International Electronic Manufacturing Technology Symposium","volume":"356 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"2-d Measuring Fiber-optic Network\",\"authors\":\"Y. Kulchin, O. B. Vitrlk, O. Kirichenko\",\"doi\":\"10.1109/IEMT.1993.639769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today mu1 t idimensional signal processing (EP) methods is of great interest. Tomography rinciples of data obtaining and process 9 ng can be very useful for like fiber-optic measuri network for distribution functions reconstruction is suggested. Network performances, reconstruction accuracyI reconstruction rocedure re uirements are discussed and ! ested gested network is made and tested. with theoretical predictions. these methods. A distribute tomographymultidimensional physical Y elds parameter\",\"PeriodicalId\":170695,\"journal\":{\"name\":\"Proceedings of Japan International Electronic Manufacturing Technology Symposium\",\"volume\":\"356 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Japan International Electronic Manufacturing Technology Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMT.1993.639769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Japan International Electronic Manufacturing Technology Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMT.1993.639769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today mu1 t idimensional signal processing (EP) methods is of great interest. Tomography rinciples of data obtaining and process 9 ng can be very useful for like fiber-optic measuri network for distribution functions reconstruction is suggested. Network performances, reconstruction accuracyI reconstruction rocedure re uirements are discussed and ! ested gested network is made and tested. with theoretical predictions. these methods. A distribute tomographymultidimensional physical Y elds parameter