MATLAB-CODE-TO-READ-CSV-FILE

用Matlab语言实现通信系统的后处理功能(Language communication system using Matlab post-processing functions)

Steihaug Newton-CG-Trust region algoirithm

End-fire array antenna radiation pattern plot

matlab练习题,战胜matlab必做的50题，教你如何轻松的掌握matlab(matlab exercise)

跳频系统的仿真,适合于初学者，算法还算清晰，还不错，希望对你有用(Simulation frequency hopping systems, suitable for beginners, the algorithm is fairly clear, well, I hope useful to you)

说明：  在matlab环境下编写的快速傅里叶变换程序，改变换程序简单有效(Matlab environment in the preparation of the fast Fourier transform procedure to change the procedure for simple and effective)

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.)

pv model with buck converter

MATLAB 7_0实用指南，系统的介绍了MATLAB的使用方法(Practical Guide for MATLAB 7_0, systematic introduction of the use of MATLAB)

book on Basics of Matlab