Yongxin Chou, Benlian Xu, Ruilei Zhang, Yufeng Feng, Yi Jin
{"title":"一种基于参数自调整整系数滤波器的动态脉冲信号滤波新方法","authors":"Yongxin Chou, Benlian Xu, Ruilei Zhang, Yufeng Feng, Yi Jin","doi":"10.1109/ICCAIS.2016.7822460","DOIUrl":null,"url":null,"abstract":"The signal to noise ratio (SNR) of dynamic pulse signal is time-varying, which influence the results of common used filtering methods. On the basis of integer-coefficients digital filter, in this study, we proposed a new approach can adjust the parameters of filter by the smooth degree of pulse signal. Moreover, the proposed method and three common used filtering methods: integer-coefficients digital filter, empirical mode decomposition) (EMD) filter and morphological filter are employed to suppress the noise and interference in the simulated and measured pulse signals. The results show that the proposed method can suppress the noise and interference of pulse signal effectively and can be used in dynamic pulse signal filtering.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A novel filtering approach for dynamic pulse signal based on parameters self-adjusting integer-coefficients filter\",\"authors\":\"Yongxin Chou, Benlian Xu, Ruilei Zhang, Yufeng Feng, Yi Jin\",\"doi\":\"10.1109/ICCAIS.2016.7822460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The signal to noise ratio (SNR) of dynamic pulse signal is time-varying, which influence the results of common used filtering methods. On the basis of integer-coefficients digital filter, in this study, we proposed a new approach can adjust the parameters of filter by the smooth degree of pulse signal. Moreover, the proposed method and three common used filtering methods: integer-coefficients digital filter, empirical mode decomposition) (EMD) filter and morphological filter are employed to suppress the noise and interference in the simulated and measured pulse signals. The results show that the proposed method can suppress the noise and interference of pulse signal effectively and can be used in dynamic pulse signal filtering.\",\"PeriodicalId\":407031,\"journal\":{\"name\":\"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS.2016.7822460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2016.7822460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel filtering approach for dynamic pulse signal based on parameters self-adjusting integer-coefficients filter
The signal to noise ratio (SNR) of dynamic pulse signal is time-varying, which influence the results of common used filtering methods. On the basis of integer-coefficients digital filter, in this study, we proposed a new approach can adjust the parameters of filter by the smooth degree of pulse signal. Moreover, the proposed method and three common used filtering methods: integer-coefficients digital filter, empirical mode decomposition) (EMD) filter and morphological filter are employed to suppress the noise and interference in the simulated and measured pulse signals. The results show that the proposed method can suppress the noise and interference of pulse signal effectively and can be used in dynamic pulse signal filtering.