CA

本程序为地球直角坐标转球面做的程序，本程序考虑到了不同的地球模型，采用了对应于不同模型的参数(This procedure turn spherical Earth Cartesian coordinate the program, the program taking into account the different Earth model using the parameters corresponding to the different models)

基于waston的自适应数字水印算法，部分可用，需要的朋友请参考。(Adaptive digital watermarking algorithm based waston partially available, please refer friends.)

一个简单的，基于MATLAB函数的图像拼接程序，非常适合初学者(simple mosaic)

利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测，程序中已经给出duffing函数，主函数中也给出了主要注释，方便大家学习交流。(BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing function, the main function also gives the main note, we facilitate learning exchanges.)

模拟右手或左手材料为包覆层的矩形波导电场分布,可根据自己的选择修改参数。(This program can be used to simulate the field distribution of the rectangular waveguide.Some parameters can be modified by yourself. )

WAVEVIB generates a vibroseis waveform (Clauder wavelet) by ％ first calling SWEEP to generate a linear sweep and then calling ％ AUTO to autocorrelate that sweep. Theoretically, the autocorrelation ％ length is ~ 2*slength but only only the central wlength long ％ part is generated. This is like windowing the auto with a boxcar.(WAVEVIB generates a vibroseis waveform (Clauder wavelet) by first calling SWEEP to generate a linear sweep and then calling AUTO to autocorrelate that sweep. Theoretically, the autocorrelation length is ~ 2* slength but only only the central wlength long part is generated. This is like windowing the auto with a boxcar.)

图像处理的源代码，matlab图像的处理方面的程序(image processing of source code, Matlab image processing procedures)

说明：  非线性 matlab Nonlinear system_Hassan_K_Khalil的matlab代码。书本的代码编写主要集中在第二章，第十三章，第十四章代码(the matlab code of Nonlinear system_Hassan_K_Khalil, the code main are in the charpter 2 ,charpter 13 and charpter 14)

神经网络训练与相关算法的描述，含有自适应学习速度(Neural network training and related algorithms described with adaptive learning rate)

说明：  所做项目中的一个卡尔曼滤波算法，需调用一些函数，但卡尔曼滤波的程序已给出，而且是正确的。(Made the project a Kalman filter algorithm, need to call some function, but the Kalman filter procedure has been given, and is correct.)