{"title":"小波分析在传感器信号处理中的应用","authors":"Roman Wyzgolik","doi":"10.1117/12.435941","DOIUrl":null,"url":null,"abstract":"Wavelet analysis was used for detection of abrupt changes in sensors signal. The ability to isolate the effect of noise and process changes from analyzing signal was shown, therefore rapid changes due to sensor fault can be magnify through high frequency wavelet coefficients. Wavelet analysis was also used for P phase time arrival identification in one component seismograms form coal mine tremor stations.","PeriodicalId":405495,"journal":{"name":"Optoelectronic and Electronic Sensors","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wavelet analysis in sensors signal processing\",\"authors\":\"Roman Wyzgolik\",\"doi\":\"10.1117/12.435941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wavelet analysis was used for detection of abrupt changes in sensors signal. The ability to isolate the effect of noise and process changes from analyzing signal was shown, therefore rapid changes due to sensor fault can be magnify through high frequency wavelet coefficients. Wavelet analysis was also used for P phase time arrival identification in one component seismograms form coal mine tremor stations.\",\"PeriodicalId\":405495,\"journal\":{\"name\":\"Optoelectronic and Electronic Sensors\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optoelectronic and Electronic Sensors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.435941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronic and Electronic Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.435941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet analysis was used for detection of abrupt changes in sensors signal. The ability to isolate the effect of noise and process changes from analyzing signal was shown, therefore rapid changes due to sensor fault can be magnify through high frequency wavelet coefficients. Wavelet analysis was also used for P phase time arrival identification in one component seismograms form coal mine tremor stations.
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