A suboptimal estimation algorithm based on smoothing B splines

被引：0
|
作者：
D. A. Bezuglov
A. V. Sklyarov
R. A. Zabrodin
I. V. Reshetnikova
机构：
[1] South Russia State University of Economics and Service,Rostov Service Institute
来源：
Measurement Techniques | 2006年 / 49卷
关键词：
estimation algorithm; smoothing; B spline; distribution;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Smoothing cubic normalized B splines are used in synthesizing a suboptimal algorithm for estimation on Bayes criteria, maximum likelihood, and a posteriori density without constraint on the gaussian behavior of the corresponding distribution densities. The potential accuracy of the algorithm is evaluated in accordance with the Cramer-Rao inequality.
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页码：970 / 975
页数：5
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