{"title":"化学传感器噪声的统计分析及其在传感中的应用","authors":"J. Smulko, C. Granqvist, L. Kish","doi":"10.1142/S0219477501000366","DOIUrl":null,"url":null,"abstract":"Resistance noise data from a single gas sensor can be utilized to identify gas mixtures. We calculated the power spectral density, higher order probability densities and the bispectrum function of the recorded noise samples; these functions are sen sitive to different natural vapors and can be employed to select a proper detection criterion for gas composites and odors.","PeriodicalId":191232,"journal":{"name":"The Random and Fluctuating World","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"ON THE STATISTICAL ANALYSIS OF NOISE IN CHEMICAL SENSORS AND ITS APPLICATION FOR SENSING\",\"authors\":\"J. Smulko, C. Granqvist, L. Kish\",\"doi\":\"10.1142/S0219477501000366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Resistance noise data from a single gas sensor can be utilized to identify gas mixtures. We calculated the power spectral density, higher order probability densities and the bispectrum function of the recorded noise samples; these functions are sen sitive to different natural vapors and can be employed to select a proper detection criterion for gas composites and odors.\",\"PeriodicalId\":191232,\"journal\":{\"name\":\"The Random and Fluctuating World\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Random and Fluctuating World\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0219477501000366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Random and Fluctuating World","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0219477501000366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ON THE STATISTICAL ANALYSIS OF NOISE IN CHEMICAL SENSORS AND ITS APPLICATION FOR SENSING
Resistance noise data from a single gas sensor can be utilized to identify gas mixtures. We calculated the power spectral density, higher order probability densities and the bispectrum function of the recorded noise samples; these functions are sen sitive to different natural vapors and can be employed to select a proper detection criterion for gas composites and odors.
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