Hong Hong, Heng Zhao, Yusheng Li, Chen Gu, Xiaohua Zhu
{"title":"一种新的基于拐点的筛选方法","authors":"Hong Hong, Heng Zhao, Yusheng Li, Chen Gu, Xiaohua Zhu","doi":"10.1109/ICDSP.2014.6900834","DOIUrl":null,"url":null,"abstract":"A new sifting method based on inflection point (S-BIP) for empirical mode decomposition is proposed in this paper, aiming at separating the modes with frequencies overlapped in an octave. The numerical analysis for some typical synthetic signals shows that the new approach can significantly reduce the ratio of the upper and lower frequency limits of an intrinsic mode function from 2 to 1.3, which mitigating the scale-mixing effect and enhancing the power of frequency resolution. In addition, as compared to the existing schemes, the proposed method significantly reduces computational complexity and benefit its spread application in real signal processing.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new sifting method based on inflection point\",\"authors\":\"Hong Hong, Heng Zhao, Yusheng Li, Chen Gu, Xiaohua Zhu\",\"doi\":\"10.1109/ICDSP.2014.6900834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new sifting method based on inflection point (S-BIP) for empirical mode decomposition is proposed in this paper, aiming at separating the modes with frequencies overlapped in an octave. The numerical analysis for some typical synthetic signals shows that the new approach can significantly reduce the ratio of the upper and lower frequency limits of an intrinsic mode function from 2 to 1.3, which mitigating the scale-mixing effect and enhancing the power of frequency resolution. In addition, as compared to the existing schemes, the proposed method significantly reduces computational complexity and benefit its spread application in real signal processing.\",\"PeriodicalId\":301856,\"journal\":{\"name\":\"2014 19th International Conference on Digital Signal Processing\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 19th International Conference on Digital Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSP.2014.6900834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 19th International Conference on Digital Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2014.6900834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new sifting method based on inflection point (S-BIP) for empirical mode decomposition is proposed in this paper, aiming at separating the modes with frequencies overlapped in an octave. The numerical analysis for some typical synthetic signals shows that the new approach can significantly reduce the ratio of the upper and lower frequency limits of an intrinsic mode function from 2 to 1.3, which mitigating the scale-mixing effect and enhancing the power of frequency resolution. In addition, as compared to the existing schemes, the proposed method significantly reduces computational complexity and benefit its spread application in real signal processing.