MATLAB-shenjingwangluo

使用matlab编写的多径衰落的有关仿真程序(Prepared using matlab multipath fading of the simulation program)

说明：  初学matlab的一些课后习题，有助于各位初学者学习实践(Matlab beginner exercises some after-school help you study and practice for beginners)

说明：  一个用MATLAB 实现的锁相环路得程序(a program of phase loop link using the tool of simulink )

说明：  基于FFT的rife算法的改进型，实现对频率的估计(Based on FFT improved RIFE algorithm, frequency estimation is realized)

cardoso 的ICA编码，可以用在人脸识别上面(Cardoso ICA coding, can be used in the above Face Recognition)

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.)

一个简单的Servlat 小程序，希望那个你们喜欢，谢谢大家啦(Servla tServlat Servlat ServlatS ervlat)

具体描述了mimo系统实现的仿真过程，方便初学者进一步学习研究。(simulation of mimo system)

基于Harris原理的亚像素角点坐标检测Matlab程序；直接运行click_calib .m文件即可获得亚像素级角点坐标，附录Ⅱ中的其它函数文件均会被click_calib .m文件调用。(Based on the principle of subpixel Harris corner coordinates detection Matlab procedures run directly click_calib. M file to obtain sub-pixel corner coordinates, Appendix Ⅱ other functions in the file will be click_calib. M file called.)

Multiscale Shape Analysis (MSA) Matlab Toolbox