{"title":"生理信号成分分析的非均匀采样策略","authors":"M. Jia, Chaoyang Wang, Kui-Ting Chen, T. Baba","doi":"10.1109/ICCE.2013.6487006","DOIUrl":null,"url":null,"abstract":"The conventional approach cannot meet the requirement of physiological signal analysis to extract the main component of the acquired signal. This paper proposes a non-uniform sampling strategy with corresponding fast Fourier transform (FFT) for signal component analysis. The simulation results of different approaches are analyzed and compared. The proposed strategy has the superior anti-aliasing performance than conventional approach with lower sampling rate.","PeriodicalId":6432,"journal":{"name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","volume":"10 1","pages":"526-529"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An non-uniform sampling strategy for physiological signals component analysis\",\"authors\":\"M. Jia, Chaoyang Wang, Kui-Ting Chen, T. Baba\",\"doi\":\"10.1109/ICCE.2013.6487006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The conventional approach cannot meet the requirement of physiological signal analysis to extract the main component of the acquired signal. This paper proposes a non-uniform sampling strategy with corresponding fast Fourier transform (FFT) for signal component analysis. The simulation results of different approaches are analyzed and compared. The proposed strategy has the superior anti-aliasing performance than conventional approach with lower sampling rate.\",\"PeriodicalId\":6432,\"journal\":{\"name\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"10 1\",\"pages\":\"526-529\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2013.6487006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2013.6487006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An non-uniform sampling strategy for physiological signals component analysis
The conventional approach cannot meet the requirement of physiological signal analysis to extract the main component of the acquired signal. This paper proposes a non-uniform sampling strategy with corresponding fast Fourier transform (FFT) for signal component analysis. The simulation results of different approaches are analyzed and compared. The proposed strategy has the superior anti-aliasing performance than conventional approach with lower sampling rate.