{"title":"基于四阶矩的信号小波去噪","authors":"R. Hippenstiel, S. Mantis","doi":"10.1109/ISSPA.2001.949853","DOIUrl":null,"url":null,"abstract":"In many applications the localization of a wireless communications transmitter is important. Localization of a mobile wireless communication unit using the time difference of arrival (TDOA) method is addressed. The localization of a GSM type emitter is enhanced by using denoised time domain signals. Denoising is obtained by thresholding the wavelet detail coefficients in time and the application of a fourth order moment criterion in scale. The performance, as a function of SNR and mean squared error for the TDOA is obtained.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wavelet denoising of signals based on the fourth order moment\",\"authors\":\"R. Hippenstiel, S. Mantis\",\"doi\":\"10.1109/ISSPA.2001.949853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many applications the localization of a wireless communications transmitter is important. Localization of a mobile wireless communication unit using the time difference of arrival (TDOA) method is addressed. The localization of a GSM type emitter is enhanced by using denoised time domain signals. Denoising is obtained by thresholding the wavelet detail coefficients in time and the application of a fourth order moment criterion in scale. The performance, as a function of SNR and mean squared error for the TDOA is obtained.\",\"PeriodicalId\":236050,\"journal\":{\"name\":\"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2001.949853\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.949853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet denoising of signals based on the fourth order moment
In many applications the localization of a wireless communications transmitter is important. Localization of a mobile wireless communication unit using the time difference of arrival (TDOA) method is addressed. The localization of a GSM type emitter is enhanced by using denoised time domain signals. Denoising is obtained by thresholding the wavelet detail coefficients in time and the application of a fourth order moment criterion in scale. The performance, as a function of SNR and mean squared error for the TDOA is obtained.