{"title":"基于新的数学傅立叶样条函数逼近的地震数据自动故障检测与三维合成","authors":"A. Gorshkov","doi":"10.3997/2214-4609.202050108","DOIUrl":null,"url":null,"abstract":"Summary The report continues representation of the advanced results earlier also performed on «Geomodel-2008/2009/2016/2017/2018/2019» [ 1 – 6 ] based on a new mathematical tool of Fourier-spline functions allowing more efficiently explain and resolve the problems too complex for classic mathematics still based on algebraic polynomials, Hauss function and related with it normal distribution , Kotelnikov-Nyquist criterion etc","PeriodicalId":120706,"journal":{"name":"Geomodel 2020","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Faults in Seismic Data Detection and 3D-Synthesis Based on New Mathematical Fourier-Spline Functions Approximation\",\"authors\":\"A. Gorshkov\",\"doi\":\"10.3997/2214-4609.202050108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary The report continues representation of the advanced results earlier also performed on «Geomodel-2008/2009/2016/2017/2018/2019» [ 1 – 6 ] based on a new mathematical tool of Fourier-spline functions allowing more efficiently explain and resolve the problems too complex for classic mathematics still based on algebraic polynomials, Hauss function and related with it normal distribution , Kotelnikov-Nyquist criterion etc\",\"PeriodicalId\":120706,\"journal\":{\"name\":\"Geomodel 2020\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geomodel 2020\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.202050108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomodel 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.202050108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Faults in Seismic Data Detection and 3D-Synthesis Based on New Mathematical Fourier-Spline Functions Approximation
Summary The report continues representation of the advanced results earlier also performed on «Geomodel-2008/2009/2016/2017/2018/2019» [ 1 – 6 ] based on a new mathematical tool of Fourier-spline functions allowing more efficiently explain and resolve the problems too complex for classic mathematics still based on algebraic polynomials, Hauss function and related with it normal distribution , Kotelnikov-Nyquist criterion etc