{"title":"独立分量分析在地球物理环境监测中的应用——以意大利Campi Flegrei为例","authors":"E. De Lauro, S. Petrosino, M. Falanga","doi":"10.1109/EESMS.2018.8405817","DOIUrl":null,"url":null,"abstract":"This work presents specific applications of techniques based on the Independent Component Analysis to the seismicity recorded at Campi Flegrei caldera. We show the capability of that technique in discriminating different kinds of signals and extracting high-quality waveforms from a noisy background. The approach is suitable for real time implementation in monitoring practice. Moreover, the results provided by these methodologies can be used to improve the knowledge of the volcano dynamics.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Independent component analysis as a monitoring tool in geophysical environment: The case of Campi Flegrei (Italy)\",\"authors\":\"E. De Lauro, S. Petrosino, M. Falanga\",\"doi\":\"10.1109/EESMS.2018.8405817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents specific applications of techniques based on the Independent Component Analysis to the seismicity recorded at Campi Flegrei caldera. We show the capability of that technique in discriminating different kinds of signals and extracting high-quality waveforms from a noisy background. The approach is suitable for real time implementation in monitoring practice. Moreover, the results provided by these methodologies can be used to improve the knowledge of the volcano dynamics.\",\"PeriodicalId\":315840,\"journal\":{\"name\":\"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EESMS.2018.8405817\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EESMS.2018.8405817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Independent component analysis as a monitoring tool in geophysical environment: The case of Campi Flegrei (Italy)
This work presents specific applications of techniques based on the Independent Component Analysis to the seismicity recorded at Campi Flegrei caldera. We show the capability of that technique in discriminating different kinds of signals and extracting high-quality waveforms from a noisy background. The approach is suitable for real time implementation in monitoring practice. Moreover, the results provided by these methodologies can be used to improve the knowledge of the volcano dynamics.