Control_system_analysis_design_and_application_MAT

根据公式I（n-1）=（1-In）/n 令I11=0计算I1 到I10； 根据公式In=1-nI(n-1) 令I0=0.6321 计算I1到I7； 根据公式X2=a ， 令a=2，计算X的值。(According to the formula I(n-1)=(1-In)/n ，set I11 equals zero，and count I1 to I10. According to the formula In=1-nI(n-1)，set I11 equals zero，and count I1 to I10. According to the formula X square equals a ，set a equals two ，then calculate X )

北斗导航定位二代协议解析，包括格式及解析代码。(Compass II protocol analysis, including formatting and parsing code.)

规划问题 经典的MATLAB源代码，无约束规划问题，线性约束及非线性约束等试验，有好几个源代码啊！(Planning the classic MATLAB source code, test of constraint programming problem with linear constraints and nonlinear constraints, there are several source code! )

LBP算子，用matlab实现，在本机上成功运行。(LBP operator, using matlab to achieve, on this machine to run successfully.)

说明：  Matlab数理统计方面的图书源码聚类分析，希望对您有用(Matlab mathematical statistics, cluster analysis of source books, I hope useful for you)

包含二进制和十进制进化算法，以及算法中二进制和十进制之间爱你的转化(Include binary and decimal evolutionary algorithm, and algorithm of love your conversion between binary and decimal )

第六届研究生数学建模大赛 我的获奖论文(Mathematical modeling of the sixth contest of my graduate thesis award)

在matlab开发环境下，实现数字图像的直方图统计，直接可运行，程序中路径为绝对路径(Development environment in matlab, digital image histogram directly to run the program for the absolute path in the path)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

说明：  利用阵列进行DOA二维估计，实现多目标的高分辨率测向(Using arrays for two-dimensional DOA estimation to achieve multi-target high-resolution direction finding)