{"title":"利用小波的一些特性在应用数据中寻找规律","authors":"E. Nelyubina, V. Ryazanov, A. Vinogradov","doi":"10.1109/ITNT57377.2023.10139069","DOIUrl":null,"url":null,"abstract":"An approach to the problem of finding hidden regularities in applied data is presented, based on the use of generalized precedents and modifications of elements of the wavelet transform in higher dimensions. In this case some new options for enhancement of the small wave shape to better fit a regularity are shown and used.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Some Features of Wavelets in the Search for Regularities in Applied Data\",\"authors\":\"E. Nelyubina, V. Ryazanov, A. Vinogradov\",\"doi\":\"10.1109/ITNT57377.2023.10139069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach to the problem of finding hidden regularities in applied data is presented, based on the use of generalized precedents and modifications of elements of the wavelet transform in higher dimensions. In this case some new options for enhancement of the small wave shape to better fit a regularity are shown and used.\",\"PeriodicalId\":296438,\"journal\":{\"name\":\"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNT57377.2023.10139069\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNT57377.2023.10139069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Some Features of Wavelets in the Search for Regularities in Applied Data
An approach to the problem of finding hidden regularities in applied data is presented, based on the use of generalized precedents and modifications of elements of the wavelet transform in higher dimensions. In this case some new options for enhancement of the small wave shape to better fit a regularity are shown and used.