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细胞神经网络超混沌同步系统性能分析及应用

PERFORMANCE ANALYSIS OF CNN HYPERCHAOTIC SYNCHRONIZATION SYSTEM AND ITS APPLICATION
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摘要 构造状态观测器可实现混沌同步。常规的研究方法是通过任意配置极点来达到同步,但对同步系统的性能分析较少。设计了一个新的五维细胞神经网络超混沌同步系统,研究分析表明极点配置与同步速度密切相关。为最大限度地减少噪声对收发双方同步误差的干扰,提出了选择反馈矩阵和补差值相结合的方法,并将其应用于多通道图像保密通信系统,仿真结果表明该设计方法可实际应用于多媒体保密通信之中。 Constructing the state observer can achieve chaotic synchronization. Conventional research method is to achieve synchronization through arbitrary configuration of poles, but seldom does analysis on the performance of synchronous system. In the paper it designs a new five-dimensional CNN hyperchaos synchronous system. The analysis shows that the pole configuration and synchronous speed have intimate relations. In order to maximum decrease the synchronous error disturbance which is created by noise between transmission and reception, it proposes a way of selecting the feedback matrix in combination with difference compensation, and applies it to the multi-channel image secure communication system. The emulation results indicate that this design method is feasible and can be applied practically in multimedia secure communication.
出处 《计算机应用与软件》 CSCD 2009年第3期97-100,共4页 Computer Applications and Software
基金 江西省自然科学基金(0611039) 江西省教育厅(赣教技字[2005]148号)
关键词 细胞神经网络 超混沌同步 极点配置 噪声 Cellular neural network(CNN) Hyperchaotic synchronization Pole configuration Noise
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