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STATISTICAL ANALYSIS OF epsilon -SEPARATING NONLINEAR DIGITAL FILTERS.
被引：0
作者：
Arakawa, Kaoru
Harashima, Hiroshi
Miyakawa, Hiroshi
机构：
来源：
Electronics & communications in Japan
|
1983年
/
6卷
/
01期
关键词：
NOISE;
SPURIOUS SIGNAL - SIGNAL FILTERING AND PREDICTION;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a statistical analysis of epsilon -separating nonlinear digital filters. Using epsilon as a parameter and white gaussian noise as an input, the mean and mean-square values of the output are derived. The nonlinear characteristics of the epsilon -filter are demonstrated, and the selection of a proper value for epsilon is discussed.
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页码：10 / 18
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