{"title":"中红外气体传感系统的统计分析模型","authors":"A. Kir, Joel M. Morris","doi":"10.1109/CISS.2009.5054806","DOIUrl":null,"url":null,"abstract":"A mid-IR laser-based gas sensing system based on Laser-based spectroscopy (LAS) is an important application in numerous fields. We used detection theory to develop a generic statistical analysis model for mid-IR gas sensing systems to compute the different performance probabilities. A signal strength measure, ΔSNR , is defined to address the detection problem for the gas sensing system and to perform detection improvement analysis.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On a statistical analysis model of mid-IR gas sensing systems\",\"authors\":\"A. Kir, Joel M. Morris\",\"doi\":\"10.1109/CISS.2009.5054806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mid-IR laser-based gas sensing system based on Laser-based spectroscopy (LAS) is an important application in numerous fields. We used detection theory to develop a generic statistical analysis model for mid-IR gas sensing systems to compute the different performance probabilities. A signal strength measure, ΔSNR , is defined to address the detection problem for the gas sensing system and to perform detection improvement analysis.\",\"PeriodicalId\":433796,\"journal\":{\"name\":\"2009 43rd Annual Conference on Information Sciences and Systems\",\"volume\":\"13 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 43rd Annual Conference on Information Sciences and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2009.5054806\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 43rd Annual Conference on Information Sciences and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2009.5054806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On a statistical analysis model of mid-IR gas sensing systems
A mid-IR laser-based gas sensing system based on Laser-based spectroscopy (LAS) is an important application in numerous fields. We used detection theory to develop a generic statistical analysis model for mid-IR gas sensing systems to compute the different performance probabilities. A signal strength measure, ΔSNR , is defined to address the detection problem for the gas sensing system and to perform detection improvement analysis.
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