solve-ODE-using-Matlab

matlab数字水印程序m文件程序，用的是小波变换中的dwt方法，并且把小波变换分成了四个子带，选择的LL子带。svd算法与dwt相结合，加密方法是混沌加密。与我刚才上传的dwt_svd_GUI.rar是一个程序，一个是gui的，一个是m文件。(m digital watermarking matlab program documentation procedures, using a wavelet transform method in the dwt and the wavelet transform is divided into four sub-band, choose the LL sub-band. svd algorithm with a combination of dwt, encryption method is chaotic encryption. I have just uploaded a dwt_svd_GUI.rar procedures, one is the gui, one m file.)

经验模态分解及希尔伯特黄变换包括了EEMD的程序(Empirical mode decomposition and Hilbert Huang transform includes EEMD program)

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

多视图鉴别分析的matlab代码，该代码对应的论文为：2015年PAMI上发表的《Multi-view Discriminant Analysis》(This is the matlab code of the Multi-view Discriminant Analysis (MvDA) algorithm)

可以对探底雷达信号进行认为加噪处理，在通过emd方法去噪处理并画wigb(Think that adding noise can dip radar signal processing, emd method denoising processing and painting wigb the)

matlab实现的频率空间转换，含完整实验报告(matlab implementation of the frequency space conversion, including a full lab report)

基于F16的simlink仿真，对于飞控学习者有较好的帮助(Based on the F16 simlink simulation, flight control learners have a good)

对遥感影像信号数据处理，粒子滤波，好用,实践可用(particle)

matlab学习资料，一个倒立摆的练习题，适合初学者(matlab learning materials, an inverted pendulum exercises for beginners)

etilist algorithm for teaching learning based optimization