{"title":"基于分形布朗曲面模型的二维分形目标优化检测","authors":"A. Parshin, Y. Parshin","doi":"10.1109/MECO.2014.6862674","DOIUrl":null,"url":null,"abstract":"Article deals with synthesis and analysis of detector of fractal 2D signal in the presence of non-correlated Gaussian noise. Model of signal is 2D fractal Brownian motion (FBM), which describes many types of signal. Expressions for likelihood ratio given based on FBM models in spatial and spectral fields. This expressions are a sufficient statistics for many problems of signal processing. Detection performances of FBM signal are calculated by statistical simulating. Investigation results can be distributed on multicomponent FBM signal processing and FBM signal processing at the background of FBM interference.","PeriodicalId":416168,"journal":{"name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal detection of 2D fractal object based on model of fractal Brownian surface\",\"authors\":\"A. Parshin, Y. Parshin\",\"doi\":\"10.1109/MECO.2014.6862674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Article deals with synthesis and analysis of detector of fractal 2D signal in the presence of non-correlated Gaussian noise. Model of signal is 2D fractal Brownian motion (FBM), which describes many types of signal. Expressions for likelihood ratio given based on FBM models in spatial and spectral fields. This expressions are a sufficient statistics for many problems of signal processing. Detection performances of FBM signal are calculated by statistical simulating. Investigation results can be distributed on multicomponent FBM signal processing and FBM signal processing at the background of FBM interference.\",\"PeriodicalId\":416168,\"journal\":{\"name\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2014.6862674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2014.6862674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal detection of 2D fractal object based on model of fractal Brownian surface
Article deals with synthesis and analysis of detector of fractal 2D signal in the presence of non-correlated Gaussian noise. Model of signal is 2D fractal Brownian motion (FBM), which describes many types of signal. Expressions for likelihood ratio given based on FBM models in spatial and spectral fields. This expressions are a sufficient statistics for many problems of signal processing. Detection performances of FBM signal are calculated by statistical simulating. Investigation results can be distributed on multicomponent FBM signal processing and FBM signal processing at the background of FBM interference.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
