1-_-UF-Lecture-note

对控制装置及仪表的控制系统进行仿真，并给出性能分析(Control devices and instrumentation control system simulation and performance analysis is given )

对信号进行取样，抽取，并将其与原信号对比(The signal sampling, extraction, and compared with the original signal)

matlab访问串口的程序，包括：打开、关闭和清除串口对象；读串口、写串口；串口的wAxzFSp数据流控制；还包括：怎么用matlab发送手机短信的nPDMteb例程；这是学习matlab访问系统硬件的原理。(Matlab serial access program, including: open, close, and clear the serial port object reading the serial port, serial port write serial wAxzFSp data flow control also include: how to use matlab to send SMS wAxzFSpl routines this is to learn matlab access principle of the hardware system.)

应用matlab实现对统计分析中的主成分分析方法，高效实现对输入变量的降低维数，同时(Application matlab realize the principal component analysis statistical analysis, efficient implementation of reduced dimensionality of the input variables, while)

编写了利用MATLAB计算任意桁架的静力分析，得到各杆的应力和各结点的位移，并画出变形前后的桁架图(The static analysis of arbitrary truss is made by using MATLAB, the stress of each rod and the displacement of each node are obtained, and the truss diagram before and after deformation is drawn)

Function LOADWAV: loading of WAV-formated signal to vector. Usage: sig=loadwav(filename[,channels,length])

说明：  OFDM的QPSK仿真程序，里面只有一个txt文件，所有程序都在上面了。(OFDM QPSK simulation program, only a txt file, all proceedings in the above.)

说明：  利用计算机编程实现加性干扰信号的维纳滤波。将计算机模拟实验结果与理论分析结果相比较，分析影响维纳滤波效果的各种因素，从而加深对维纳滤波的理解。(computer programming additive interference signal the Wiener filter. Computer simulation results with the theoretical results of the analysis, compared Wiener filtering analysis on the factors that effect, so as to enhance the understanding of the Wiener filter.)

基于matlab的7阶不变矩,以源码的形式展示出来(Based on the 7-order invariant moments matlab)

Fisherface方法的实现是在PCA数据重构的基础上完成的，首先利用PCA将高维数据投影到低维特征脸子空间，然后再在这个低维特征脸子空间上用LDA特征提取方法得到Fisherface。程序中使用参数寻优的方法来寻找最佳投影维数，以达到比较理想的识别效果。 (The Fisherface method implemented in the PCA data reconstruction based on the completion of the first use of PCA projection of high-dimensional data to a low dimensional feature subspace, and then on the characteristics of low-dimensional subspace LDA feature extraction methods to get the Fisherface. Program parameter optimization method is used to find the best projection dimension, in order to achieve the ideal identification.)