djcp

说明：  外点罚函数法解线性等式约束用matlab实现(Outside the penalty function method for solving linear equality constraints to achieve with matlab)

用于移动通信系统的仿真，是对瑞丽衰落信道的仿真！(communication system )

这是一个里卡迪方程的简易对角线解法，有一定的现实意义，可以在matlab的计算里减少很大的计算量。十分好用(This is a simple solution Ricadi diagonal equation, there are certain practical significance, can reduce a large amount of computation in the calculation in matlab. Very easy to use)

Modeling the Stephan cooking mixer, Hardware in the loop simulation

Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as a minimization of problem of minimizing the total fuel cost of all committed plants subject to the constraints

Introduction to Matlab Basic Matlab Commands and Syntax, can be useful for beginners and experts as wee. Enjoy

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.)

实现了图像的加水印，去噪，加噪声等功能，BP神经网络用于函数拟合与模式识别，LDPC码的完整的编译码。( Realize image watermarking, de-noising, plus noise and other functions, BP neural network function fitting and pattern recognition, Complete codec LDPC code.)

Phone Management System

Unknown input observer fault detection and isolation techniques