{"title":"回声分类——回声波动统计","authors":"T. Stanton","doi":"10.1121/AT.2021.17.2.61","DOIUrl":null,"url":null,"abstract":"Widespread Use of Echo Classification Everyone has seen images of unborn babies from medical ultrasound and weather maps of incoming storm clouds from radar. What these technologies have in common is that they involve the classification of echoes received from sensor systems that send out a signal and receive echoes from objects of interest. In each case, echoes are classified into meaningful information, much like how a sonar operator listens for echoes from enemy submarines.","PeriodicalId":72046,"journal":{"name":"Acoustics today","volume":"17 1","pages":"61"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Echo Classification—Statistics of Echo Fluctuations\",\"authors\":\"T. Stanton\",\"doi\":\"10.1121/AT.2021.17.2.61\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Widespread Use of Echo Classification Everyone has seen images of unborn babies from medical ultrasound and weather maps of incoming storm clouds from radar. What these technologies have in common is that they involve the classification of echoes received from sensor systems that send out a signal and receive echoes from objects of interest. In each case, echoes are classified into meaningful information, much like how a sonar operator listens for echoes from enemy submarines.\",\"PeriodicalId\":72046,\"journal\":{\"name\":\"Acoustics today\",\"volume\":\"17 1\",\"pages\":\"61\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acoustics today\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1121/AT.2021.17.2.61\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acoustics today","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1121/AT.2021.17.2.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Echo Classification—Statistics of Echo Fluctuations
Widespread Use of Echo Classification Everyone has seen images of unborn babies from medical ultrasound and weather maps of incoming storm clouds from radar. What these technologies have in common is that they involve the classification of echoes received from sensor systems that send out a signal and receive echoes from objects of interest. In each case, echoes are classified into meaningful information, much like how a sonar operator listens for echoes from enemy submarines.