3D-FDTD_matlab_PEC

matlab实用程序，主要针对图像处理，二值化等(matlab utilities, mainly for image processing, binarization, etc.)

基于Matlab的现代通信系统书籍，非常实用(based on Matlab modern communications systems books, a very practical)

Matlab中的fsolve函数源代码。可用于解方程。(Matlab fsolve function of the source code )

说明：  按照信息论基本原理的解释，信息是系统有序程度的一个度量，熵是系统无序程度的一个度量；如果指标的信息熵越小，该指标提供的信息量越大，在综合评价中所起作用理当越大，权重就应该越高。因此，可利用信息熵这个工具，计算出各个指标的权重，为多指标综合评价提供依据。(According to the interpretation of the basic principles of information theory, information is a measure of the degree of orderliness of the system, and entropy is a measure of the degree of disorder of the system. If the information entropy of the index is smaller, the amount of information provided by the index is larger, and the role of the index in the comprehensive evaluation should be greater, the weight should be higher. Therefore, we can use the tool of information entropy to calculate the weight of each index, and provide a basis for the comprehensive evaluation of multiple indicators.)

此程序为MATLAB实现的配电网33节点潮流计算，方法为前推回代法。(MATLAB realization of this program for the distribution network 33 nodes in power flow calculation, and methods for the former to push back on behalf of the law.)

说明：  利用迭代法 实现图像的分割，突出感兴趣的部分以便研究(Iterative method used to achieve image segmentation, in order to highlight the interesting part of the study)

说明：  二维冲突概率算法，其实这个仿真是为了验证三维算法实现的基础，在二维的基础上再把二维扩展到三维。但也有不一样的地方(Two-dimensional conflict probability algorithm, in fact, this simulation is to verify the basis of three-dimensional algorithm, based on the two-dimensional two-dimensional and then extended to three-dimensional. But there are also not the same place)

基于matlab的LLE算法代码，是人脸识别代码中的子程序(LLE algorithm matlab-based code, the code is a subroutine face recognition)

k最近邻算法，给出训练样本和测试样本，通过样本间欧氏距离或是绝对距离来寻找测试样本的k个近邻，并根据k个实例里多数所属的类将该测试样本归为该类。(k-nearest neighbor algorithm, given the training and testing samples by the Euclidean distance between the samples or the absolute distance to find the k nearest neighbors of the test sample and the test samples according to class k instances where the majority belongs classified as class .)

利用Matlab编程进行马尔可夫预测计算,非常方便的，只需要进行相应的矩阵乘法(Markov prediction using Matlab programming to calculate, very convenient, just make the appropriate matrix multiplication)