PCA

一篇关于雷达的一些初级概念的很形象的解释，并带有计算方法(An article on some of the radar image of the primary concepts are explained, and with the calculation method)

通过matlab实现齿轮的三维模拟和运动动画显示(Achieved through the gears and three-dimensional simulation matlab motion animation)

这是一个利用遗传算法来求解非线性方程组的经典案例，有助于学习好这种新的算法(A program on the understanding of nonlinear equations solved using genetic algorithms)

殖民竞争算法代码（CCA）也被称为帝国主义的竞争算法（ICA），这是其在matlab中的实现。 (Colonial competitive algorithm codes (CCA) is also known as imperialist competitive algorithm (ICA), which is in its implementation in matlab.)

说明：  《现代通信系统（mmatlab版）第二版》所有源代码(C ontemporary Communication Systems Using Matlab)

MATLAB编写的计算一幅图像投影熵，用来计较两幅图像的相似程度(MATLAB calculations prepared by an image projection entropy, is used to care about the similarity of two images)

tcl partial reconfig synthesis code

one neccessary program for neural network training in control

利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。 根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)

Two dimensional FDTD with UPML + TFSF