CaseStudy

进行图像边缘检测的程序，学图像处理的会有很大帮助(Image edge detection procedure, learning image processing would be of considerable help)

hi this is the code for svd in ieee 14 bus system

依据不同模糊距离公式建立模糊相似矩阵，采用matlab编程实现的模糊聚类分析的源程序代码(Fuzzy similar matrix matlab fuzzy clustering analysis of the source code programming depending on fuzzy distance formula)

中值滤波窗口大小影响滤波器性能,3×3滤波窗口可以很好地保持图像细节。提出一种新的自适应中值滤波方法。将3×3窗口中心的极值点作为候选噪声点,若候选噪声点仍然是7×7窗口的极值点,则该点即是噪声点。若以噪声点为中心的3×3滤波窗口的中值不是噪声,则噪声用中值替换。重复以上过程,直到没有噪声点被替换。(Median filter window size affect the filter performance, 33 filter window can be well preserving image detail. Propose a new adaptive median filtering method. The 33 extreme point of the center of the window as the candidate noise the candidate noise is still 77 extreme points of the window, the point is that the noise point. Terms of noise centered on the point 33 filtering window value is not a noise, the noise is replaced with the median. The process is repeated until there is no noise point is replaced.)

不同形式的发射信号的模糊函数比较,CW ,LFM HFM和CW+HFM(different signal with ambiguity function )

this source code find minimum,maximum ,mean and variance of image databases and store them in file named exemplars.mat

说明：  蚁群算法原理及其应用PFD，希望对你们有帮助啊(Principle and Application of ant colony algorithm PFD, you would like to help ah)

1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。(1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpolation results by changing the No. of points. 2. Grasp the method of linear minimun 2 product mehtod using matlab. 3. Solve the practical problems though the study of example of how to use interpolation and fitting method. Pay attention to the relation and difference of the 2 methods.)

当信号采样点数很少时，不能很好的恢复原模拟信号，导致原始信号中的一部分丢失。而当信号的采样点数增多到1024时，其分辨率很好，可以有效的区分信号的信息，当采样点数继续增多时，其恢复为原始模拟信号的精度越高且不丢失原始信号。(When the signal is small when the sampling points can not be good to restore the original analog signal, causing part of the original signal is lost. When the signal is increased to 1024 sampling points, its resolution is very good, can effectively distinguish the signal information, continue to increase when the sampling points, its back to the higher accuracy of the original analog signal without loss of the original signal.)

Face recognitiion and detection system in matlab