Tooltiptest

vc++matlab图像处理与识别分章代码下载12(vc++ matlab image processing and recognition of sub-chapter code 12download)

在matlab中实现哈夫曼压缩和解压缩。(Huffman compression and decompression in matlab.)

基于matlab的模糊均值C的聚类程序，可以实现彩色图像的聚类，能实现程序时间统计(Matlab-based fuzzy mean C clustering procedures, can achieve color image clustering, to achieve the program time statistics)

Well, this is a Visual Studio program which monitors temperatures Arduinoin background!

自适应遗传算法matlab代码，主要用于配电网路故障后恢复的研究(Adaptive genetic algorithm matlab code, mainly for the distribution of network failure recovery)

采用神经网络控制的方法。利用人工神经网络的自学习这一特性，并结合传统的PID控制理论，构造神经网络PID控制器，实现控制器参数的自动调整(Control method using neural network. Artificial neural network to learn the characteristics of the self, combined with the traditional PID control theory, structural neural network PID controller, automatically adjust the controller parameters )

vc与matlab7的混编，采用的混编方式是通过shared(vc matlab7 with the mixing of the way through the air shared)

进程操作的类,可以从进程名枚举进程PID,也可以从窗口标题查找,打开进程,读取长整型,写入长整型,读取字节数组,写入字节数组.压缩包内包含有一个破解示例,破解掉一个判断密码是否正确的程序(仅在内存中进行,不破坏原文件)(Process operations class, you can enumerate the process name from the process PID, you can search for the title from the window, open the process, read a long integer, write long integer, byte array to read, write byte array. Tarball sample contains a crack, break out a password to determine whether the correct procedure (only in memory, not a destruction of the original document))

Calling Windows APIs without declaration, full Visual Basic source code example.

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))