Diag_Rayon_Parabole_Guidonde

SMF-28折射率、群速度、材料色散、波导色散、总色散、包括SMF的基本底层参数。(SMF-28 refractive etc)

基于马尔可夫链的蒙特卡洛方法在matlab中的实现程序(Based on markov chain monte carlo method is implemented in the matlab program)

用凯泽窗设计线性相位带通FIR滤波器,给出了详细的编程语言和方法(Kaiser window design with band-pass linear phase FIR filter, given in detail and methods of programming languages)

matlab与Arduino通信的源程序。(Matlab and Arduino communication source program )

两篇时频分析的论文，时频分析技术简述与基于matlab的信号时频分析仿真，可以在编程时参考学习。(Two time-frequency analysis papers, time-frequency analysis technology brief matlab-based signal frequency analysis simulation can learn programming reference.)

小波处理心电信号,去除心电信号中的各种干扰信号，可以做为学习ECG信号处理的学习资料(wavelet ecg)

聚类算法的简单介绍 感觉讲的蛮好的 上传来共享(Clustering algorithm briefly talked about feeling fine upload to share)

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.)

This is excersis solution of the chapter 7th of AFT text book which i have uploaded previopusly.

噪声调相信号仿真代码（用高斯白噪声调制）(PM signal noise simulation code (Gaussian white noise modulation))