{"title":"基于伪cwt方法的异常检测研究","authors":"W. Shinohara","doi":"10.1109/SICE.2002.1195806","DOIUrl":null,"url":null,"abstract":"In abnormality detection based on pattern-matching scheme, it is desirable a specific signal pattern itself is used as a probing pattern, as seen in the case of CWT (continuous wavelet transform), but its use is limited because of heavy computing load. In this paper, we study the feasibility of wavelet decomposition algorithm based abnormality detection to hedge this problem.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A study on abnormality detection with pseudo-CWT approach\",\"authors\":\"W. Shinohara\",\"doi\":\"10.1109/SICE.2002.1195806\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In abnormality detection based on pattern-matching scheme, it is desirable a specific signal pattern itself is used as a probing pattern, as seen in the case of CWT (continuous wavelet transform), but its use is limited because of heavy computing load. In this paper, we study the feasibility of wavelet decomposition algorithm based abnormality detection to hedge this problem.\",\"PeriodicalId\":301855,\"journal\":{\"name\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2002.1195806\",\"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 41st SICE Annual Conference. SICE 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2002.1195806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on abnormality detection with pseudo-CWT approach
In abnormality detection based on pattern-matching scheme, it is desirable a specific signal pattern itself is used as a probing pattern, as seen in the case of CWT (continuous wavelet transform), but its use is limited because of heavy computing load. In this paper, we study the feasibility of wavelet decomposition algorithm based abnormality detection to hedge this problem.