fuzzy2

说明：  vb 调用matlab方法实例，包括调用matlab绘图，matlab分形计算等。(vb call methods matlab examples, including the call matlab graphics, matlab fractal calculation.)

机器人语音控制系统,本系统在Windows XP系统下编译通过。更详细的配置请参照书中的说明。(Robot voice control system, the system in the Windows XP system, through the compiler. A more detailed configuration, please refer to the book description.)

Dijkstra最短路算法通用Matlab程序

改程序在Turbo C或Visual 6.0中编译，能够实现基2的快速的傅里叶变换。(Reform program in Turbo C or Visual 6.0 compiled, enables fast Fourier transform base 2.)

说明：  声波方程正演模拟大模型样例。 包含三个地质层，分别对应速度可以自行修正。 震源函数是雷克子波。 C源程序，输出结果Matlab绘制。(Acoustic wave equation forward modeling big model of the sample. Consists of three geological layers, corresponding to the speed you can correct itself. Lake wavelet source function is. C source code, the output of Matlab draw.)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

电液伺服系统的智能控制研究.kdh，优秀硕士论文(Electro-hydraulic Servo System Intelligent Control. Kdh, outstanding master' s thesis)

说明：  通过matlab产生各种信号，包括四种信号，有正弦，指数，虚指数，复指数信号，内容丰富，是和信号分析同学使用(signal about sin，etc)

监视程序，能监视系统有没有打开扫雷程序，如果打开就关闭，其窗口自动隐藏，按ALT+F10调出窗口，(Monitoring program, can monitor the system has no open mine program, if the opening is closed, its windows auto-hide, press ALT+ F10 transferred out of the window,)

MATLAB入门，如何运用具体的MATLAB进行算法的实现(Getting Started with MATLAB, how to use specific MATLAB for algorithm implementation)