AT697F

说明：  matlab的WCDMA程序，3G研究人员很好的参考程序，也包括C程序。(matlab s WCDMA procedures, 3G Researchers good reference procedures, including the C program.)

说明：  旅行商问题 可求解最短距离的，有距离路线图，运行次数(Summary:Each salesman travels to a unique set of cities and completes theroute by returning to the city he started from Each city is visited by exactly one salesman)

Matlab 下支持向量机经典实现过程，非常适合初学者使用，台湾林智仁代表作(Matlab SVM classic application, very straightforward, simple to understand, it s worth downloading)

使用matlab语言编写的，用于直方图法的分析，也可以称作众数法(Using matlab language, for histogram analysis method can also be called a modal method)

tone reservation for papr reduction

to define Joystick In Matlab

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.)

MPPT connected to Buck

manipulate and solve systems of multivariate polynomial equations by computing the groebner basis

MATLAB PROGARM Naive Bayes