LMS

对一幅彩色图像进行融合，用到颜色空间转换，数字矩阵到图像显示的转变，同屏显示其效果图，有待进一步研究(Color images of an integration, using the color space conversion, digital matrix image display to change, with the screen display the effect of map, be subject to further study)

说明：  应用 FFT对信号进行频谱分析 1、在理论学习的基础上，通过本次实验，加深对快速傅里叶变换的理解，熟悉FFT 算法及 其程序的编写。 2、熟悉应用FFT 对典型信号进行频谱分析的方法。 3、了解应用 FFT 进行信号频谱分析过程中可能出现的问题，以便在实际中正确应用 FFT。 (Application of FFT spectrum analysis of signal 1, the theoretical foundation of learning, through this experiment, to deepen the understanding of the fast Fourier transform, familiar with the FFT algorithm and its procedures for the preparation. 2, familiar with the application of FFT on a typical signal spectrum analysis. 3, the understanding of application of FFT spectral analysis of signal problems that may arise in order to practice the correct application of FFT.)

matlab robotic toolbox的源文件和一份中文简要说明。很实用(a brief description the matlab robotic toolbox source files and a Chinese. Very practical)

MATLAB的图像处理工具箱手册，涉及了图像显示、图像变换、图像配准等一些常用的图像操作(MATLAB image processing toolbox manual deals with image display, image transformation, image registration and some other commonly used image manipulation)

小波工程主要包括一两部分：一、连续小波分析的应用，二、离散小波分析的应用。下面分两个部分分别说明这两个程序的分析结果： 一、连续小波分析： 所用信号为自己构造的三角波和正弦波叠加的信号：s=(-1).^(floor(n/50)+1).*(mod(n,50)-25)*2-(-1).^(floor(n/17)+1).*(mod(n,17)-8.5)*3+1*cos(n/2)*10。其中第一项(-1).^(floor(n/50)+1).*(mod(n,50)-25)*2为一周期为100的锯齿波，第二项-(-1).^(floor(n/17)+1).*(mod(n,17)-8.5)*3为一周期为34的锯波，第三项为一周期为4*pi正(余)弦波。另外叠加了一幅度为5的噪音信号。 程序包包含程序与说明文档。(Wavelet works mainly consists of two parts: first, the application of continuous wavelet analysis, II, Discrete Wavelet Analysis.)

Linear Programlama, matlab uygulama

这是个主要介绍利用MATLAB来绘图的经典程序，其中有很多程序可以直接借用，希望能对你有所帮助。(This is mainly introduces the use of MATLAB to the classic drawing process, in which there are many programs can be directly borrowed, hoping for your help.)

这是一本关于车辆动力学方面的书籍，主要针对车辆工程与车辆控制相关的人员学习使用(This is a book about the dynamics of the vehicle, mainly for vehicle engineering or vehicle control research staff to learn to use)

广义预测控制的学习ppt 预测控制的学习 模型算法 (gpc ppt)

边缘检测代码。多种检测方法，包括梯度算法（多种窗），LOG算法，sobel算子等等(Edge detection code. A variety of detection methods, including gradient algorithm (multiple windows), LOG algorithm, sobel operator, etc.)