{"title":"基于小波变换的信号滤波及其在探地雷达中的应用","authors":"W. Xu, Chaoyang Xu","doi":"10.1109/CMC.2010.210","DOIUrl":null,"url":null,"abstract":"Towards wavelet transforms part characters in time domain and frequency domain, a practical GPR signal processing method is proposed. Based on continuous wavelet transform, the main component of echo signal is extracted by energy analysis. Through scaled decomposition and frequency filtering, the disturbed component is eliminated. The SNR of reconstructed echo signal is improved. The experiments of real data indicate it improves the processing performance of underground target detecting than continuous wavelet transform.","PeriodicalId":296445,"journal":{"name":"2010 International Conference on Communications and Mobile Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Signal Filtering Based on Wavelet Transform and its Application in Ground Penetrating Radar\",\"authors\":\"W. Xu, Chaoyang Xu\",\"doi\":\"10.1109/CMC.2010.210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Towards wavelet transforms part characters in time domain and frequency domain, a practical GPR signal processing method is proposed. Based on continuous wavelet transform, the main component of echo signal is extracted by energy analysis. Through scaled decomposition and frequency filtering, the disturbed component is eliminated. The SNR of reconstructed echo signal is improved. The experiments of real data indicate it improves the processing performance of underground target detecting than continuous wavelet transform.\",\"PeriodicalId\":296445,\"journal\":{\"name\":\"2010 International Conference on Communications and Mobile Computing\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Communications and Mobile Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMC.2010.210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Communications and Mobile Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMC.2010.210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal Filtering Based on Wavelet Transform and its Application in Ground Penetrating Radar
Towards wavelet transforms part characters in time domain and frequency domain, a practical GPR signal processing method is proposed. Based on continuous wavelet transform, the main component of echo signal is extracted by energy analysis. Through scaled decomposition and frequency filtering, the disturbed component is eliminated. The SNR of reconstructed echo signal is improved. The experiments of real data indicate it improves the processing performance of underground target detecting than continuous wavelet transform.
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