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。
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.
出处
《电测与仪表》
北大核心
2006年第4期5-7,共3页
Electrical Measurement & Instrumentation
基金
国家自然科学基金资助项目(69872012)
吉林省科技厅自然科学基金资助项目(20030519)
关键词
混沌系统
非高斯噪声
斜度
信号检测
chaos system
non-gauss noise
skewness
signal detection
