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- discrete chaotic sequence 离散混沌序列
- This paper presents an algorithm of image digital watermarking in DCT domain based on chaotic sequence. 提出一种基于混沌序列的DCT域数字水印算法.
- Based on the fact that the tracking error asymptotically approaches zero, a new nonlinear delayed feedback control approach of discrete chaotic systems is presented. 以跟踪误差渐进趋近于零为基础,提出了一种新的离散混沌系统延时反馈控制方法。
- Chaotic sequence is complex and recalcitrant to analysis and unpredictableness,and it can offer good complexity and comparable randomness. 混沌序列结构复杂,难以分析和预测,能提供很好的复杂性、类随机性。
- Firstly, we design a binary image watermarking signal and encrypted it by a chaotic sequence cipher before it is embedded. 将含有版权信息的二值图像作为水印,利用混沌密码对其进行加密,水印方案具有双重的安全性。
- First,the image watermarking signal was designed and encrypted by a chaotic sequence cipher,made it have the certain security. 该算法首先利用混沌序列对水印图像进行预处理加密,使水印嵌入方案具有一定的安全性。
- Double Bytes Discrete Digital Chaotic Sequence Generator Chip Core 双字节离散数字混沌序列发生器芯片核
- Knowing only an approximate unstable period orbit(UPO) embedded in a discrete chaotic attractor, this paper addresses the problem of system stable state in terms of using linear feedback control method. 讨论当已知存在于混沌吸引子中的近似周期轨道,用变量反馈控制方法进行控制时系统稳定状态的情况。
- Simulation results show that the extended chaotic sequence generated by using our method is pseudorandom and its correlation performance and balance performance are good. 实验结果表明,应用本文给出的方法生成的广义混沌序列具有较好的随机性、自相关性和平衡性。
- In this paper, We make use of the good performance of the chaotic sequence as a method of confusing and the HVS visual masking, and present a algorithm of image watermark based on the technology of multistep information hiding. 本文利用混沌序列作为置乱序列的良好性能和人类视觉系统(HVS)的视觉掩盖特性提出了一种基于多级信息隐匿技术的图像数字水印算法。
- The synaptic ma-trix and initial conditions of chaotic neural networks are regarded as symmetric key.Every block of plain text is en-crypted by chaotic sequence generated by neural networks. 利用混沌神经元的联结矩阵和初始条件作为密钥,使神经网络产生的难以预测的混沌序列来实现非线性数字序列加密运算。
- Realization of discrete chaotic circuits 离散混沌电路的实现
- Based on the strong learning ability and nonlinear function approximation capacity of Multi-Layer Perceptrons (MLPs), a generating chaotic sequence model is proposed in this paper. 应用具有全局最优的进化规划算法建立产生混沌序列的优化神经网络模型。
- composite discrete chaotic iteration system 复合离散混沌迭代系统
- Composite discrete chaotic system 复合离散混沌系统
- two-dimensional discrete chaotic 二维离散混沌
- Secondly, the discrete imaging, automation network models, symbol dynamics and discrete chaos of discrete dynamic system of digital human body were analyzed. 然后分析了包括离散映射、自动器网络模型、符号动力学和离散混沌的数字人体离散动态系统;
- The algorithm in the proposed program can mask the image data and permute pixels location by chaotic sequences. 算法程序首次采用了图像数据的混沌掩盖加密和图像象素位置的置乱加密相结合的方法,对图像进行了两次复合的混沌加密。
- The algorithm in the proposed program can mask the image data and permute pixel's location by chaotic sequences. 算法程序首次采用了图像数据的混沌掩盖加密和图像象素位置的置乱加密相结合的方法,对图像进行了两次复合的混沌加密。
- Chaotic sequence generator based on digital filter 基于数字滤波器的混沌序列发生器