bianyaqineibuguzhangfangzhen

HHT精华讨论，对运用ＨＨＴ进行数据分析时遇到的问题有详细的解答，是学习ＨＨＴ不可或缺的资料(HHT essence discussion, this paper analyzed the data using HHT is there detailed solution to the problems encountered in the process of, is indispensable to study HHT data)

分别利用fisher判别法和近邻法对一组声呐数据进行模式识别，计算分类的正确率(Respectively, and the use of fisher discriminant method nearest neighbor method sonar data to a set of pattern recognition, to calculate the correct classification rate)

a very nice book for matlab understanding and studing.

PCA的离线建模程序，包括数据标准化，PCA建模，统计量计算(PCA offline modeling process, including data standardization, PCA modeling, statistical calculation)

A three phase induction motor drive using a V/F control

本程序中仿真了关于ADRC的一些基本例子仿真，并说明了ADRC的一些基本优点和好处(In this program the simulation about some basic examples of ADRC simulation, and explained some of the advantages and benefits of ADRC)

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.)

基于数控机床进给系统PID参数优化程序SOA。(Feed System Based on SOA PID parameter optimization program CNC machine tools.)

对广义交叉验证算法（GCV）的计算的辅助程序。(The generalized cross-validation algorithm (GCV) calculation of auxiliary programs.)

演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(MA eigenvalues ​ ​ demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters)