PSAT

生成《matlab扩展编程》中对于HMM训练的sammples.mat程序，自己编写，已通过测试。 (Generation " matlab programming expansion" in the HMM training sammples.mat procedures, I have written a complete source code, has been tested. )

抛物型方程的加权隐式差分格式程序，通过该程序读者可以不同选择 加权因子 THETE 可以得到四种不同的差分格式。(Parabolic equations weighted implicit difference scheme program, through the program readers the different options the weighting factor THETE can get four different differential format.)

说明：  INS_OUT一个关于惯性导航解算的程序源代码，本人的研究结果。(INS_OUT a about inertial navigation the solution of the source code, I study results. )

PCA Algoritms Iris Data test

说明：  数值分析 隐式算法改显示算法 非弹性分析(Numerical analysis implicit algorithm to display the elastic analysis algorithm)

说明：  从最基本的问题入手，循序渐进，逐渐过渡到较为复杂的数学问题、信号分析问题、力学问题和电 学问题的求解，将MATLAB的学习贯穿在解决不同领域实际问题的过程当中(Starting from the fundamental issue, step by step, gradually transition to more complex mathematical problems, signal issues, mechanical issues and electrical problem solving, learning through the MATLAB to solve practical problems in different areas of the process of)

直接序列扩频利用与信息无关的伪随机码，以调制方法将已调制信号的频谱宽度扩展得比原调制信号的带宽宽得多的过程。(Direct sequence spread spectrum has nothing to do with the information of pseudo-random code modulated signal spectrum width modulation method will be extended than the original modulation signal bandwidth is much wider process. )

一个基于matlab的Svpwm程序，使用S函数实现(Svpwm a matlab-based program that uses the S function to achieve )

说明：  西储大学数据集时域特征的提取，提取了最大值、最小值、峰峰值、均值、方差、标准差、均方值、均方根值（RMS）、均方误差（MSE）、均方根误差（RMSE）、方根幅值(Time domain feature extraction of data set of Western Reserve University)

Data sets include far more ancillary information than simple tables of numbers and the DataSet Object (DSO) was designed as a generic container that can hold all of this information. The standard DataSet object is similar to a Matlab structure but it is intended to standardize how data is organized and maintained. It was originally designed in 2000 by a consortium of chemical and engineering industry experts to contain the kinds of data that they worked with in real applications. It has been updated numerous times since then to add relevant functionality needed for multivariate analysis of physical science and engineering data.