{"title":"基于小波的发射机识别","authors":"R. Hippenstiel, Yalcin Payal","doi":"10.1109/ISSPA.1996.615150","DOIUrl":null,"url":null,"abstract":"This work addresses the use of wavelets for automatic identification of radio transmitters. The magnitudes and the relative positions of the extrema from several wavelet scales are used to identify the transmitter. Even at reduced signal to noise (SNR) ratios good identification is obtained. The procedure lends itself to be automated, minimizing human interaction.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"250 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":"{\"title\":\"Wavelet Based Transmitter Identification\",\"authors\":\"R. Hippenstiel, Yalcin Payal\",\"doi\":\"10.1109/ISSPA.1996.615150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work addresses the use of wavelets for automatic identification of radio transmitters. The magnitudes and the relative positions of the extrema from several wavelet scales are used to identify the transmitter. Even at reduced signal to noise (SNR) ratios good identification is obtained. The procedure lends itself to be automated, minimizing human interaction.\",\"PeriodicalId\":359344,\"journal\":{\"name\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"volume\":\"250 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"62\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.1996.615150\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work addresses the use of wavelets for automatic identification of radio transmitters. The magnitudes and the relative positions of the extrema from several wavelet scales are used to identify the transmitter. Even at reduced signal to noise (SNR) ratios good identification is obtained. The procedure lends itself to be automated, minimizing human interaction.
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