{"title":"基于多峰信号的主峰提取方法","authors":"Fang Liu, Ming-hao Tian, Yongxin Feng","doi":"10.1109/ICINIS.2010.185","DOIUrl":null,"url":null,"abstract":"The main peak extraction method was proposed, considering the main peak uncertainty of multi-peak signal and the inadequateness of existing methods. The purpose of main peak extraction was achieved by relevant processing, and the ambiguity of sub-peak triggered was removed, the characteristic of single peak was restituted. In the same time the method was simulated, the conclusion proved that the main peak extraction method was effective.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Method of Main Peak Extraction Based on Multi-peak Signal\",\"authors\":\"Fang Liu, Ming-hao Tian, Yongxin Feng\",\"doi\":\"10.1109/ICINIS.2010.185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main peak extraction method was proposed, considering the main peak uncertainty of multi-peak signal and the inadequateness of existing methods. The purpose of main peak extraction was achieved by relevant processing, and the ambiguity of sub-peak triggered was removed, the characteristic of single peak was restituted. In the same time the method was simulated, the conclusion proved that the main peak extraction method was effective.\",\"PeriodicalId\":319379,\"journal\":{\"name\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINIS.2010.185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINIS.2010.185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Method of Main Peak Extraction Based on Multi-peak Signal
The main peak extraction method was proposed, considering the main peak uncertainty of multi-peak signal and the inadequateness of existing methods. The purpose of main peak extraction was achieved by relevant processing, and the ambiguity of sub-peak triggered was removed, the characteristic of single peak was restituted. In the same time the method was simulated, the conclusion proved that the main peak extraction method was effective.