Advanced-PID-control-and-MATLAB-

《人工智能——一种现代方法(第二版)》图书的相关matlab源代码资料信息("Artificial Intelligence- A Modern Approach (Second Edition)" Book of the data and information related to the source code matlab)

VC6.0通过matcom调用m文件的文章(VC6.0 m file by calling the article matcom)

matlab最小费用最大流程序，图论，输入距离矩阵求解(The minimum cost maximum flow matlab program, graph theory, enter the distance matrix solver)

svm工具箱，程序与应用实例 scaleForSVM:归一化 pcaForSVM:pca降为预处理 fasticaForSVM:ica降为预处理 等(svm toolbox, procedures and application examples)

Metronome using SimMechanics matlab

灰色系统预测模型以及建模，通过输入样本，可实现样本统计输出(Gray system model and prediction modeling, through the importation of samples, sample statistics can be output)

求取一幅灰度图像中的光斑形心的位置的Matlab的源代码。算法使用的是最大类间方差法编写的程序，可以得到光斑形心位置的（x,y）坐标。(strike a gray image of the heart-shaped spot on the location of the source code Matlab. The algorithm used is MBV Law prepared by the procedures, can be heart-shaped spot position (x, y) coordinates.)

这是基于matlab的关于LPCC (Linear Predictive Cepstral Coding)(线性预测倒谱系数) 的代码，对大家理解有一定帮助。(This is based on the matlab LPCC (Linear Predictive Cepstral Coding) (Linear Predictive Cepstral) code for us to understand some help.)

基于MATLAB的doa估计的信道估计模型仿真，(Based on MATLAB doa estimated channel estimation model simulation,)

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)