Det_RLs

本程序是建立了三维椭球随机分布模型，并绘制出分布图像。(This procedure is to establish a three-dimensional ellipsoid model of random distribution, and to map out the distribution of the image.)

利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元(using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons)

gauss seidel program

说明：  基于多孔算法的非抽样小波该方法运算时间少 重构图像效果好(Trous algorithm based on the non-sampling methods of computing the wavelet reconstructed image less effective)

一种流形学习算法（很好用），计算目标和海洋回波的功率谱密度,未来线路预测,分析误差。( A fluid manifold learning algorithm (good use), Calculating a target and ocean echo power spectral density, Future line prediction, error analysis.)

通过积分公式计算Gumbel概率分布的累计分布函数(Gumbel probability distribution with integral formulas of the cumulative distribution function)

Generate a function or script file call tree and plot it in a figure

HIGH CAPACITY DATA-HIDING

拉格朗日内插法的matlab实现 改进后可用于多种用途(Matlab Lagrange interpolation method can be used to achieve the improved multi-purpose)

说明：  互信息法求混沌序列的最优时延 文件说明： 1、Mutual_Information_main.m 主文件，直接运行此程序即可 2、LorenzData.dll 产生Lorenz离散序列 3、Mutual_Information.dll 互信息函数 4、buffer.dll 缓存文件(Mutual information method for optimal time-delay chaotic sequence document describes: 1, Mutual_Information_main.m master file, run this program directly to 2, LorenzData.dll generated Lorenz discrete sequence 3, Mutual_Information.dll mutual information function 4, buffer.dll cache file)