{"title":"Tracking long-range dependencies with wavelets","authors":"P. Flandrin, P. Abry","doi":"10.1109/WITS.1994.513885","DOIUrl":null,"url":null,"abstract":"Long-range dependent processes exhibit features, such as 1/f spectra, for which wavelets offer versatile tools and provide a unifying framework. This efficiency is demonstrated on both continuous processes, point processes and filtered point processes. The fractal shot noise model is also considered.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Long-range dependent processes exhibit features, such as 1/f spectra, for which wavelets offer versatile tools and provide a unifying framework. This efficiency is demonstrated on both continuous processes, point processes and filtered point processes. The fractal shot noise model is also considered.
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