{"title":"基于最优截断变化的多模光纤单像素成像噪声估计","authors":"Yangyang Xiang, Xingzhuo Hu, Ruoxuan Li, Junhui Li, Mingying Lan, Jianxin Ma, Li Gao","doi":"10.1364/3d.2022.jw5c.5","DOIUrl":null,"url":null,"abstract":"Through the variation of the optimal truncation for multimode fiber single-pixel imaging (MMF-SPI) using truncated singular value decomposition, the source and level of system noise could be determined and estimated which is desired for MMF-SPI.","PeriodicalId":286361,"journal":{"name":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Noise estimation via the optimal truncation variation for multimode fiber single-pixel imaging\",\"authors\":\"Yangyang Xiang, Xingzhuo Hu, Ruoxuan Li, Junhui Li, Mingying Lan, Jianxin Ma, Li Gao\",\"doi\":\"10.1364/3d.2022.jw5c.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through the variation of the optimal truncation for multimode fiber single-pixel imaging (MMF-SPI) using truncated singular value decomposition, the source and level of system noise could be determined and estimated which is desired for MMF-SPI.\",\"PeriodicalId\":286361,\"journal\":{\"name\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/3d.2022.jw5c.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/3d.2022.jw5c.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noise estimation via the optimal truncation variation for multimode fiber single-pixel imaging
Through the variation of the optimal truncation for multimode fiber single-pixel imaging (MMF-SPI) using truncated singular value decomposition, the source and level of system noise could be determined and estimated which is desired for MMF-SPI.