gears

说明：  该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(The function used to calculate the time series of the largest Lyapunov index- Wolf method)

KSVD和MOD字典学习稀疏表示程序代码(KSVD, and MOD dictionary learning sparse representation of program code)

16QAM的调制端simulink仿真，本人初学者练习之用的，希望对初学者有用(failed to translate)

multi - objective optimisation

collection of adaptive lab programs

本代码包括Music算法以及Root-music算法的仿真实现，对初学者大有裨益(The code includes Music algorithms and simulation Root-music algorithm of great benefit for beginners)

本科大三实习的个人空间的GUI设计，采用MATLAB设计，为本科科研训练题目(A personal space GUI design using MATLAB design for undergraduate research training topics)

《visual c++matlab图像处理与识别实用案例精选》源码与Visual C++_MATLAB图像处理与识别实用案例精选(" Visual c++ matlab image processing and recognition of practical cases selected" source code and Visual C++ _MATLAB image processing and recognition of practical cases selected)

三容水箱故障诊断仿真源码，这是基于德国DST200三容水箱的仿真分析源码(Fault diagnosis of three-tank simulation source, which is based on the German three-DST200 simulation analysis of source water tanks)

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.)