two-dimensional-photonic-crystals

matalb编写的debye函数m文件(prepared matalb Debye function m file)

这是国标数字电视地面传输标准里信道编解码器的MATLAB程序，用的是LLR-BP的解码算法，请大家指正。另有根据国标生成的生成矩阵和校验矩阵稍后传上来(This is the national standard of digital TV terrestrial transmission standard in channel codec MATLAB program, using the LLR-BP decoding algorithm, please correct me. Otherwise in accordance with GB-generated matrix and calibration matrix generation later Chuan-up)

部分选主元的高斯消元法的MATLAB代码，并用该方法结合2次回代接方程组(Part of the pivoting Gaussian elimination of the MATLAB code, and combined with this method 2 times back to the pickup equations)

旅行商遍历50个城市，最短线路的求法问题(Traversing 50 cities TSP, the shortest route problem Method)

该函数用来计算时间序列的最大Lyapunov 指数 Wolf 方法 m: 嵌入维数 tau:时间延迟 data:时间序列 N:时间序列长度 P:时间序列的平均周期,选择演化相点距当前点的位置差，即若当前相点为I，则演化相点只能在|I－J|>P的相点中搜寻 lambda_1:返回最大lyapunov指数值 (This function is used to calculate the time series of the largest Lyapunov exponent Wolf method m: embedding dimension tau: time delay data: time series N: Time sequence length P: the average period of time series, the evolution of the current location of the point relative pitch poor, that is, if the current phase point is I, the evolution of the phase point only | I-J |> phase point P in search lambda_1: returns the maximum index value lyapunov)

本程序主要实现图像的骨架化。细化和骨架化操作是把区域的面宽度缩到最小，即单像素宽度，也就是把物体变细，直到现最小的像点连通性。(The main procedures of the skeleton of the image. Refinement and skeleton operation the face width of the region is reduced to a minimum, i.e., a single pixel width, which is the object thinner, until now the smallest image point connectivity.)

introduction to mimo channels

说明：  利用Matlab平台编制的光线追迹模拟程序，可以改变程序中的相关参数，模拟任意形状透镜的光线追迹。(The program used to simulate ray tracing using MATLAB platform can change the relevant parameters in the program to simulate ray tracing of lens with arbitrary shape.)

This program helps in kalman hi infinity filter learning

这是余成波的一本关于 数字图像处理与MATLAB实现的书。有需要的看看(This is the one about Yucheng Bo digital image processing and MATLAB realization of the book. There needs to look at)