(chp4)

基于数据的PCA程序，程序中有故障预测，故障提取，故障预测，故障幅值估计等内容。(based on the PCA program, the program has fault prediction, fault extraction, fault prediction, fault magnitude estimation content.and so on.)

设计一个AC/DC/AC变频器设计，具体参数如下：三相交流输入380V/50Hz，三相输出交流电压500V/400Hz,THD<5 ,负载为一般的阻感负载，功率5000W。(Design of a AC/DC/AC converter design, the specific parameters are as follows: Three-phase AC input 380V/50Hz, three-phase output AC voltage 500V/400Hz, THD < 5 , as a general resistive load inductive load, power 5000W.)

雷达干扰掩护飞机突防的仿真实验，可以设置敌方警戒雷达位置、我方突防飞机航线等等技术参数，进行对比实验。(Penetration radar jamming aircraft cover simulation experiment, you can set the location of enemy surveillance radar, aircraft routes and so our penetration technical parameters, comparative tests.)

迭代法是解线性代数方程组的另一类方法，特别适用于解大型稀疏线性方程组。它的基本思想是针对求解问题预先设计好某种迭代格式，从而产生求解问题的近似解迭代序列，在迭代序列收敛于精确解的情况下，按精度要求取某个迭代值作为问题解的近似值。迭代法具有原始系数举证始终不变，算法简单，编写程序较方便，所需存储单元较少的优点。(iterative method was the linear algebraic equations of the other methods, particularly applicable to the large sparse linear equations. The basic idea is to solve the problem in advance against the design iteration some good format, thereby creating problems for the approximate solution of iterative sequence, the iterative sequence converges to the exact solution, precision demanded by a certain value as a question iterative solution approximation. Iteration with the original proof coefficient remains unchanged, the algorithm is simple, the preparation process more convenient, less required storage unit advantages.)

matlab函数参数总汇，对于matlab初学者来说很有帮助(matlab function parameters the pool, very helpful for beginners matlab)

这是一些关于模式识别工具箱的源代码,和模式识别第二版配套使用，有很强的运用价值。(These are some original Matlab codes on pattern classification:pattern calssification toolbox)

matlab程序提取语音信号的基音频率、共振峰、能量、MFCC等特征参数。(The matlab program to extract the speech signal fundamental frequency, Gong Zhenfeng, energy, MFCC and other characteristic parameters.)

在险价值 条件在险价值 风险度量 matlab软件(value at risk)

说明：  脑电信号模式识别(EEG pattern recognition)

Basics in Image processing using MATLAB