PSO

Solving the LP problem using Simplex method

comunication tcp ip on matlab

内共有两个程序：1.用Mallat算法实现一维小波变换；2.用DWT实现二维小波变换。 从仿真图可以加深对小波概念及小波变换的原理。(A total of two procedures: 1. Mallat algorithm using one-dimensional wavelet transform 2. With the realization of two-dimensional wavelet transform DWT. From the simulation wavelet map can deepen their understanding of the concept and the principle of wavelet transform.)

离散对称信道的信道容量的计算是香农信息论一个很重要的方面(Discrete symmetric channel is the channel capacity is calculated by the Shannon information theory is a very important aspect)

用MATlab实现的遗传算法，i比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab genetic algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)

能使桌面上不停的换色.请先生成EXE再运行不然会出错。(Enable non-stop for the desktop color. Please re-run the EXE generated will not go wrong.)

本程序描述的是如何用MATLAB语言编写DSB-AM调制的程序(DSB-AMmodulation)

说明：  MATLAB 神经网络用于数字识别源程序 手写数字识别(MATLAB neural network for digital identification of the source handwritten numeral recognition)

利用MATLAB GUI设计实现图像处理的图形用户界面，利用MATLAB图像处理工具箱实现以下的图像处理功能： 1. 采用matlab Guide设计实现图像界面与按钮界面。 2. 连接摄像头，编写MATLAB初始化程序 3. 用摄像头采集一副图像，并能实现保存（使用控件按钮保存）。 4. 设计按钮实现对图像进行任意的亮度和对比度变化调整，显示和对比度变化前后的图像。 5. 设计按钮实现用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 (Designed and implemented using MATLAB GUI graphical user interface, image processing, using MATLAB image processing toolbox of image processing functions to achieve the following: 1. Designed to achieve an image using matlab Guide button interface with the interface. 2 Connect the camera to write MATLAB initialization procedure 3, with the camera capture an image and save to achieve (using the control button to save). 4 Design button on the image to achieve any change in the brightness and contrast adjustment, display, and contrast changes before and after images. 5 button design to achieve the user to select an image region of interest with the mouse, display and save the selected area.)

说明：  EMD处理数据的全流程以及经验模态分解的一个经典例子(The whole process of EMD data processing and a classical example of empirical mode decomposition)