he_76

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

This source code simulates a Video Traffic Model

多目标蝗虫优化算法源代码,benchmark函数优化，测试效果好。(Multi-objective Grasshopper Optimization Algorithm (MOGOA) source codes)

本文提出的中值滤波的快速算法的基本思想是：原始数据序列上中值滤波的滑窗在移动过程中，当前窗只要删除其最早的元素，加入窗后的新元素，即成为下一窗的内容。这个只是Matlab里封装的算法代码(In this paper, the median filtering of the fast algorithm for the basic idea is: the original data sequence in the sliding window filtering process in the mobile, the current window as long as the deletion of its first element, adding a new element after the window, that is, the next window content.)

计算两幅图像的峰值信噪比。图像是表示地个像素点所用的二进制位数，即位深。计算PSNR(Calculate PSNR of two images. Image pixel is expressed in a number of bits used, ascended the throne deep. Calculation of PSNR)

matlab版分形程序，包括了了所有常见分形内容。可直接使用。 (matlab version fractal program, including all common fractal content. Can be used directly.)

duda 模式分类 第二章 上机练习代码（原创，不是网内流传的官方工具箱，比较全，大部分已调试）对应课后题的题号(Pattern Classification 2nd CH2 code practice )

userguide for solving pde with matlab for students

建立MATLAB/ SIMULINK仿真，从基础学习，可以快速掌握控制系统的仿真(Establish MATLAB/simulink simulation, basic learning, can quickly master control system simulation)

智能天线自适应算法的研究，比较了LMS、RLS和MVDR三种算法的性能。(Smart antenna adaptive algorithm study to compare the performance of the LMS, RLS and MVDR three algorithms.)