{"title":"红外光谱目标感知算法的可合成逻辑实现","authors":"Woo-Yong Jang, M. Vakil, J. Vella, M. Noyola","doi":"10.1109/NAECON.2015.7443086","DOIUrl":null,"url":null,"abstract":"We report the implementation of an adaptive spectral sensing algorithm in hardware description language for IR target classification. The synthesized logic performs computation in digital domain between IR test input and a set of prescribed algorithmic weights to extract desired spectral information from targets as well as identifying its class.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of IR spectral target sensing algorithm in synthesizable logic\",\"authors\":\"Woo-Yong Jang, M. Vakil, J. Vella, M. Noyola\",\"doi\":\"10.1109/NAECON.2015.7443086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report the implementation of an adaptive spectral sensing algorithm in hardware description language for IR target classification. The synthesized logic performs computation in digital domain between IR test input and a set of prescribed algorithmic weights to extract desired spectral information from targets as well as identifying its class.\",\"PeriodicalId\":133804,\"journal\":{\"name\":\"2015 National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2015.7443086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2015.7443086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of IR spectral target sensing algorithm in synthesizable logic
We report the implementation of an adaptive spectral sensing algorithm in hardware description language for IR target classification. The synthesized logic performs computation in digital domain between IR test input and a set of prescribed algorithmic weights to extract desired spectral information from targets as well as identifying its class.