sac-101.6a-linux_x86_64.tar

说明：  用matlab实现的神经网络Hopfield网络算法，初步编写，欢迎指正(nertural network)

读取硬盘SMART值,很详细的源代码。很有参考学习的价值(read hard smart value)

小波图像分解与合成(详细).在matlab环境中实现。(Wavelet image decomposition and composition (detailed). In the matlab environment to achieve.)

Vine copula for C vine和 D vine的估计等。(Vine copula for C vine and D vine.)

山上有m只猴子要选大王,选举办法如下：所有猴子从1到m进行编号并围坐一圈,从第一号开始按顺序1,2,...n继续报数,凡是报n号的猴子都退出到圈外,照此循环报数,直到圈内只剩下一只猴子时,这只猴子就是大王.输出大王的编号。 (Mountains have m of the monkeys to elect king, method of election are as follows: All monkeys are numbered from 1 to m, and sitting around a circle, to begin from the first order 1,2, ... n continue to report the number of those who reported that n No. The monkeys are out to outsiders the basis of this report the number of cycles until the circle only one monkey, the monkey is king. Output King number.)

Polynomial code in c++, contain differnet functions

介绍有关H.248的内容 相当有用 价值比较高(H。248)

许多工程软件需要用到复杂的数学算法。VC++能够形成各种用户界面， 并可以直接与系统及底层硬件交换数据。因此研究VC++和Matlab 的混合编程具有很大的实际意义。该文讨论了如何使用Matlab 的Complier 将*.m函数编译为动态链接库DLL， 提供给VC++调用的方法， 提供了一种VC++与Matlab 混合编程的快速实现。(Many engineering software need to use complex mathematical algorithms. VC++ can form a variety of user interface, and can directly exchange data systems and the underlying hardware. Therefore, VC++ and Matlab of mixed programming of great practical significance. The article discusses how to use Matlab' s Complier to*. m functions compiled as dynamic link library DLL, VC++ provided to the invoked method, provides a mixed VC++ and Matlab programming fast implementation.)

这是通过hfss软件设计915m超高频偶极子天线工程 此设计只通过仿真验证 没有制作实物验证(It is designed to 915m UHF dipole antenna hfss software engineering through the design just does not make physical verification by simulation)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)