The use of Characteristic Functions in the Multi-Frame Accumulation Algorithm

V. Belokurov, V. I. Koshelev, M. Kagalenko
{"title":"The use of Characteristic Functions in the Multi-Frame Accumulation Algorithm","authors":"V. Belokurov, V. I. Koshelev, M. Kagalenko","doi":"10.1109/MECO.2019.8760010","DOIUrl":null,"url":null,"abstract":"This work develops an analytical method of computing detection threshold for multi-frame accumulation. We propose to use characteristic functions for estimating the probability density of statistic on the input of threshold device. The proposed approach is evaluated using chi-squared criterion.","PeriodicalId":141324,"journal":{"name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2019.8760010","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

This work develops an analytical method of computing detection threshold for multi-frame accumulation. We propose to use characteristic functions for estimating the probability density of statistic on the input of threshold device. The proposed approach is evaluated using chi-squared criterion.
特征函数在多帧累积算法中的应用
本文提出了一种计算多帧积累检测阈值的解析方法。我们提出用特征函数来估计阈值装置输入的统计量的概率密度。采用卡方准则对该方法进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信