摘要
基于全维状态观测器的设计思想,构造一个含有噪声影响的CNN超混沌同步系统,提出采用给定软阈值小波去噪技术去除信道噪声,结合选择矩阵和补差值的方法去除信源噪声,并将其应用于图像保密通信系统中.仿真结果表明该系统具有良好的抗噪性.
Based on the design idea of full-dimensional state observer,the CNN hyper chaotic synchronization system was constructed.A given soft threshold wavelet de-noising techniques was used to remove channel noise,selection matrix was combined and the method of making up the difference to remove information source noise was used.And it was applied to the image secure communication system;the simulation results indicate these methods have good noise immunity.
出处
《重庆文理学院学报（自然科学版）》
2011年第2期55-58,共4页
Journal of Chongqing University of Arts and Sciences
关键词
细胞神经网络
超混沌
噪声
小波
Cellular Neural Network（CNN）
hyper chaotic
noise
wavelet
