EXAMPLE

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.)

几个线性拟合的matlab程序,用到了对数，一次，二次，( several linefitng programs,matlab )

说明：  newton插值应该比lagrange好一点点，适合求解线性方程组，(lagrange interpolation newton than a little bit of good, suitable for solving linear equations,)

此代码很完善，能很好识别人脸。很有用的识别程序(This code is perfect, can well identify the human face. Useful in identification procedures)

c程序的105个经典的例子，新手很值得一看。(c program examples of the classic 105, novice is worth a visit.)

说明：  基于matlab矩阵形式的huffman编码(Matrix based on the huffman coding matlab)

独立分量分析用于混合信号的分离，使用的算法是快速固定点算法，3路混合信号分别为man.pcm、dragon.pcm和music.pcm(Independent component analysis for mixed-signal separation algorithm used is a fast fixed-point algorithm, 3-way mixed-signal, respectively man.pcm, dragon.pcm and music.pcm)

这段代码是基于pca方法的数字图像处理技术，具有实际用应价值(This code is based on the method pca digital image processing technology, with the actual values used should be)

rayleigh 信道特性仿真 包括jakes模型 修正型 以及改进型三种模型的信道特性仿真及其图(Simulation of rayleigh channel, including jakes model updating-based and improved characteristics of three models of channel simulation and Figure)

信号的相关性是信号本身很重要的性质，本程序就是求随机信号的自相关性。(Signal is the relevance of the signal itself is very important properties, this procedure is for the random signals between autocorrelation. )