Application of probability filter to signal processing problems

被引：0
|
作者：
Vetrov D.P. [1 ]
Kropotov D.A. [1 ]
机构：
[1] Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, 119991, ul. Vavilova 40
来源：
Pattern Recognition and Image Analysis | 2006年 / 16卷 / 3期
基金：
俄罗斯基础研究基金会;
关键词：
Brownian Motion; Original Signal; Lipschitz Condition; Noisy Signal; Dynamic Programming Method;
D O I：
10.1134/S1054661806030151
中图分类号：
学科分类号：
摘要：
A method of signal filtering based on the maximum likelihood principle is presented. This method provides elimination of random distortions caused by noises, conserving local specific features of the signal. The concept of probability filtering ensures processing of both discrete and piecewise-continuous signals. © Pleiades Publishing, Inc., 2006.
引用
收藏
页码：478 / 485
页数：7
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