clasicalpsd

在一个图像块中调整两个(或多个) DCT系数的相对大小。将描述一个使用数字图像作为载体的系统。在编码处理中，发送者将载体图像分成8×8的像素块，每一块只精确地编码一个秘密信息位。嵌入过程开始时，首先伪随机地选择一个图像块bi，用它对第i个消息比特进行编码。令Bi=D{bi}为DCT变换后的图像块。 在通信开始前，发送者和接收者必须对嵌入过程中使用的两个DCT系数的位置达成一致，让我们用(u1,v1)和(u2,v2)来表示这两个索引。这两个系数应该相应于余弦变换的中频，确保信息保存在信号的重要部位(从而使嵌入信息不容易因JPEG压缩而完全丢失 (abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwx)

RGB to gray scale conversion of image.

说明：  用LMS算法实现自适应均衡器的MATLAB程序(LMS algorithm with adaptive equalizer for MATLAB program)

说明：  用MATLAB编写离散小波变换实现数字水印技术(Discrete wavelet transform digital watermarking technology)

matlab开发环境下进行动画显示的相关函数集合，对学习动画显示有较大帮助(matlab animation development environment for the correlation function of the collection, to learn the animation show a greater help)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

QPSK system simulation not working

NURBS曲线拟合 可以实现无交叉的封闭曲线拟合(NURBS curve)

聚类分析 Clustering 可以用来做聚类分析图，有实例(Clustering)

说明：  EGM2008球谐函数计算程序，展开到2160阶。(EGM2008 HarmonicSynthesissoftware)