SNR PERFORMANCE OF A NOISE-REDUCTION ALGORITHM APPLIED TO COARSELY SAMPLED CHAOTIC DATA

被引：26

作者：

CAWLEY, R ^{[1
]}

HSU, GH ^{[1
]}

机构：

[1] UNIV MISSOURI,DEPT MATH,COLUMBIA,MO 65211

来源：

PHYSICS LETTERS A | 1992年 / 166卷 / 3-4期

关键词：

D O I：

10.1016/0375-9601(92)90360-X

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We describe results of application to coarsely sampled Lorenz time series of an algorithm for noise reduction. The method does not depend on having detailed prior information about system dynamics. Systematic numerical studies reveal linear growth in peak values of maximum SNR improvement with the logarithm of trajectory length.

引用

页码：188 / 196

页数：9

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