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基于混沌系统的非高斯噪声的高斯化方法
引用本文:聂春燕,石要武,王有维.基于混沌系统的非高斯噪声的高斯化方法[J].电测与仪表,2006,43(4):5-7.
作者姓名:聂春燕  石要武  王有维
作者单位:吉林大学,通信工程学院,长春,130025;长春大学,电子信息工程学院,长春,130022;吉林大学,通信工程学院,长春,130025
基金项目:中国科学院资助项目;吉林省科技厅自然科学基金
摘    要:提出了混沌系统将非高斯信号转变为高斯过程的理论。在此基础上,利用高阶统计分析中的斜度概念验证此结论的有效性,并且通过仿真实验进一步说明了此方法的可行性。由此可将混沌系统看作滤波预处理器,把高斯噪声背景下的许多算法推广到以非高斯噪声为背景情况下的信号检测,有望为测量技术领域提供有效可行的新方法。

关 键 词:混沌系统  非高斯噪声  斜度  信号检测
文章编号:1001-1390(2006)04-0005-03
收稿时间:2006-01-14
修稿时间:2006年1月14日

A Method of Non-gauss Noise Changed to Gauss Process Based on Chaos System
NIE Chun-yan,SHI Yao-wu,WANG You-wei.A Method of Non-gauss Noise Changed to Gauss Process Based on Chaos System[J].Electrical Measurement & Instrumentation,2006,43(4):5-7.
Authors:NIE Chun-yan  SHI Yao-wu  WANG You-wei
Affiliation:1.Comunication Institute, Jilin University, Chanchun 130025, China; 2. Electronic Information Institute, Changchun University, Changchun 130022, China
Abstract:The theory that chaos system can change non-gauss noise to gauss process is presented. On this base, the skewness of high-order statistic analysis is used to test and verify the effectiveness of the conclusion. Simulation results further show this method is practicable. So chaos system can be as a beforehand filter. A lot of algorithms in gauss noise are extended to non-gauss noise. The discovery of this theory has showed the inherent law of the chaos system from another aspect, so the theoretical foundation and the method of application can be offered for chaos system, which is hoped to provide a novel and effective detection method for the measurement technology filed.
Keywords:chaos system  non-gauss noise  skewness  signal detection
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