Difference equation reconstruction algorithms based on maximum likelihood method

A. S. Anisimòv, V. Kononov, D.S. Hudyakov
{"title":"Difference equation reconstruction algorithms based on maximum likelihood method","authors":"A. S. Anisimòv, V. Kononov, D.S. Hudyakov","doi":"10.1109/KORUS.2000.866008","DOIUrl":null,"url":null,"abstract":"The possibilities and singularities of use of the maximum likelihood method for an improvement of the estimations of denominator polynomial factors at reconstruction of an object discrete transfer function on noisy estimation of its impulse response are considered. The application of this method reduces the necessity of a nonlinear algebraic system solution. The special iterative algorithm of a solution of the indicated system is offered, in which for each step the solution of two linear systems is made. In this case the reconstruction error of the required factors is generated by an arbitrary enough choice of transfer function order of the shaping filter and by the iterative character of a nonlinear system solution. The procedure of indirect monitoring of the obtained estimations effectiveness by means of inspection of indexes of centrality, whiteness and normality of generating noise estimation is offered.","PeriodicalId":20531,"journal":{"name":"Proceedings KORUS 2000. The 4th Korea-Russia International Symposium On Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings KORUS 2000. The 4th Korea-Russia International Symposium On Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KORUS.2000.866008","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

The possibilities and singularities of use of the maximum likelihood method for an improvement of the estimations of denominator polynomial factors at reconstruction of an object discrete transfer function on noisy estimation of its impulse response are considered. The application of this method reduces the necessity of a nonlinear algebraic system solution. The special iterative algorithm of a solution of the indicated system is offered, in which for each step the solution of two linear systems is made. In this case the reconstruction error of the required factors is generated by an arbitrary enough choice of transfer function order of the shaping filter and by the iterative character of a nonlinear system solution. The procedure of indirect monitoring of the obtained estimations effectiveness by means of inspection of indexes of centrality, whiteness and normality of generating noise estimation is offered.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于极大似然法的差分方程重构算法
考虑了极大似然法在对目标离散传递函数的脉冲响应进行噪声估计时改进其分母多项式因子估计的可能性和奇异性。该方法的应用减少了求解非线性代数方程组的必要性。给出了该系统解的特殊迭代算法,其中每一步求解两个线性系统。在这种情况下,所需因子的重构误差是由整形滤波器传递函数阶数的任意选择和非线性系统解的迭代特性产生的。给出了通过检测产生噪声估计的中心性、白度和正态性指标来间接监测所得估计有效性的方法。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Influence of the shape factor on efficiency of the green compact ultrasonic compacting and properties of sintered zirconia ceramics Researching of rank detector on grayscale images Combustion of a coal particle with allowance for of environmental factor A control algorithm for voltage source converter in a system for generating AC power About knowledge representation and processing in intelligent systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1