LU-Method

MATLAB实现高通及低通滤波器，是实验上编写的代码，多指教(MATLAB high-pass and low pass filter is experimentally write the code, multi-Zhi Jiao)

一级倒立摆的lqr控制，两部分组成，simulink和m文件。(An inverted pendulum lqr control, composed of two parts, simulink and m files.)

给matlab初学者，一些非常实用的M文件，希望会有所帮助。(Some practical M files for beginners of matlab)

图像处理基础算法源代码MATLAB集合，里面很多修改就可以用(Image Processing MATLAB based algorithm source code set, which can be used to modify many)

交织码的突发信道仿真研究，应用了10x10矩阵，内码为汉明码(Code intertwined sudden channel simulation research, application of the 10x10 matrix, with the code for the Hamming Code)

说明：  这是一个关于基本的最小二乘的程序，只用Matlab语言编写的。(This is a basic program about least squares, written in Matlab language.)

利用乘幂法求解矩阵A=[6，-11,6 1,0,0 0,1,0]的特征根（1,2,3）(solve the characteristic roots of array: A = [6,-11,6 1,0,0 0,1,0] by using matrix power method the root=(1,2,3))

Speed Control of a Three Phase Alternating Current Induction Motor Using Space Vector Pulse Width Modulation is done in this document.

Matlab GUI编程中文参考手册，以及一些基本的程序介绍(Matlab GUI Programming Reference Manual, as well as some basic procedures for introduced)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)