Q1

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

用matlab实现RS（255,223）的编码，叫噪声，译码，并求出纠错个数，可以正确运行。(RS (255,223) coding using matlab, called noise, decoding, and calculated the number of error corrections, you can run correctly.)

这是一个利用小波来处理图像的程序，对学习小波的同学有很大的帮助。(This is a wavelet to process the image program, students learning wavelet is very helpful.)

Ⅰ层模型声波波场数值的有限差分模拟程序,利用有限差分方法,对声波在地下的传播进行模拟(Ⅰ layer model acoustic wave finite difference numerical simulation program using finite difference method, the spread of sound waves in the ground to simulate)

这是关于mathlab软件使用的一些入门级教程，对mathlab初学者有一定的帮助。(This is an entry-level course about the using of mathlab , it may have some help for mathlab beginners .)

参加数学建模学生必学软件语言之一，笔者自己总结的lingo笔记，方便学习阅读参考补充。(Students will learn to participate in mathematical modeling of software languages​ ​ , the author summarizes the lingo own notes, easy to learn to read reference supplement.)

trajectory planning for robot with 2link in free workspace

信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。(Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results.)

This file contains a lab which is developed to implement a low pass filter using windowing technique. We study the way how to design FIR digital filters and how Matlab offers tools for the design.

总共56个测试的基准函数，用于智能算法测试所用。(Totally 56 benchmark functions for testing, they are used for intelligence algorithm testing.)