keigang_V3.6

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.)

电子工业出版社出版的国外电子与通信教材系列一书：现代通信系统（MATLAB版）（第二版）中的脚本文件与M文件(第二章－－九章) (Electronics Industry Publishing House of foreign electronic communications materials and a series of books : Modern communication system (MATLAB) (2nd edition), the script file and M (Chapter II-- 1109))

基于matlab的聚类法图像分割技术，能够有效的将彩色图像进行切割(Matlab-based clustering method of image segmentation, color images can effectively be cut)

说明：  A DS Spread Spectrum simulation code.

说明：  这是最短路径动态规划问题及其程序设计，大家可以参考(hao)

The Use Of Multi resolution Analysis And Wavelet Transform For Merging Panchromatic And Multispectral Satellite Image Data.

有关DVB—S2的技术特点及应用，及其相关的重要技术，如信道编码，LDPC码和BCH码的编译码算法(Technical characteristics and application of DVB-S2, and the important technology, such as channel coding, LDPC code and BCH code encryption algorithm)

using MonteCarlo Method

matlab principal component analysis, PCA算法.(matlab principal component analysis, PCA algorithm.)

《滑模变结构控制MATLAB仿真》目前最新版的配套光盘中的matlab仿真程序，和适合做滑膜变结构的仿真，可以在基础上扩展，很好的低起点资料(" MATLAB simulation of sliding mode variable structure control," the latest edition of the companion CD matlab simulation program, and suitable for synovial variable structure simulation, you can expand on the foundation, a good starting point for information on low)