cma

自己做的一个简单的ｍａｔｌａｂ与ＶＣ混合编程的小例子供大家参考(Do a simple matlab and VC mixing programming of small example for reference)

一个基于离散时间工作休假的排队模型的仿真程序(a simulation program of a queuing model which is based on the discrete time working vacation)

This guide reviews the rules and syntax of the principle commands that comprise C and its object-oriented cousin, C++. The reference consists of 19 chapters that define operators and the standard input/output, string, character, and more.

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

matlab下的神经网络的bp 的sin函数(matlab neural network under the bp of the sin function)

windows 获取网卡的描述信息 windows 获取网卡的描述信息(Windows for the description of the card information Windows for the description of the card information)

自适应均衡中LMS算法的仿真程序，输出曲线与均方误差曲线(Adaptive equalization in the LMS algorithm simulation program, the output curve and the mean square error curve)

说明：  基于D-S证据理论的信任模型研究与实现,用matlab编写代码仿真实现模拟图形(design and realize of belief model baseed on D-S theory of evidence)

Embedded Control Systems in CC++ An Introduction for Software Developers Using MATLAB

Fast Gaussian Convolution with Recursive Filtering.