{"title":"独立样本和相依样本分形维数的极大似然估计纹理处理","authors":"A. Parshin, Y. Parshin","doi":"10.1109/IRS.2016.7497366","DOIUrl":null,"url":null,"abstract":"Paper has described algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Model of the fractal object based on dependent samples is represented. Appliance of these algorithms for textural processing is proposed.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Textural processing using maximum likelihood estimation of fractal dimension by independent and dependent samples\",\"authors\":\"A. Parshin, Y. Parshin\",\"doi\":\"10.1109/IRS.2016.7497366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Paper has described algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Model of the fractal object based on dependent samples is represented. Appliance of these algorithms for textural processing is proposed.\",\"PeriodicalId\":346680,\"journal\":{\"name\":\"2016 17th International Radar Symposium (IRS)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 17th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2016.7497366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 17th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2016.7497366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Textural processing using maximum likelihood estimation of fractal dimension by independent and dependent samples
Paper has described algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Model of the fractal object based on dependent samples is represented. Appliance of these algorithms for textural processing is proposed.
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