{"title":"阈值法对小波理论一维信号去噪的影响","authors":"P. Císar, S. M. Cisar","doi":"10.1109/SISY.2012.6339492","DOIUrl":null,"url":null,"abstract":"This paper examines the influence of thresholding method on 1D signal denoising using wavelet theory. The analysis is realized in Matlab environment. The cases of different input signals are considered, for which the adequate residuals are calculated and discussed.","PeriodicalId":207630,"journal":{"name":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The influence of thresholding method on 1D signal denoising using wavelet theory\",\"authors\":\"P. Císar, S. M. Cisar\",\"doi\":\"10.1109/SISY.2012.6339492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the influence of thresholding method on 1D signal denoising using wavelet theory. The analysis is realized in Matlab environment. The cases of different input signals are considered, for which the adequate residuals are calculated and discussed.\",\"PeriodicalId\":207630,\"journal\":{\"name\":\"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics\",\"volume\":\"338 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2012.6339492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2012.6339492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The influence of thresholding method on 1D signal denoising using wavelet theory
This paper examines the influence of thresholding method on 1D signal denoising using wavelet theory. The analysis is realized in Matlab environment. The cases of different input signals are considered, for which the adequate residuals are calculated and discussed.