PID

有关MATLAB的图像绘制功能的ppt,很方便，很实用的(The MATLAB' s image rendering capabilities of the ppt, very convenient and very practical)

人脸检测的gabor filter matlab源代码，希望对大家有用！(Face detection of gabor filter matlab source code, hope that useful to everybody!)

2D HOMOGRAPHY FOR IMAGE PROCESS

利用matlab对去雾后的图片进行评价，主要用于彩色图片信息熵的统计，值得下载(Use matlab for defogging the picture after the uation, mainly for color picture information entropy statistics, worth downloading)

高速公路上关于车流量与速度关系，以及发生事故的可能性。(About the relationship between traffic volume and speed on the highway, and the possibility of accidents.)

该电路用来测量电感变化，在产品中经过考验，非常可靠希望帮助大家学习！(The circuit is used to measure the inductance changes, the product after the test, very reliable hope to help you learn! )

学习机械工程控制的例子的一些matlab中的实现过程(Examples of mechanical engineering to learn some control of the implementation process in matlab)

图像重建，采集电容灵敏度，通过计算重建图像。计算电容灵敏度(Calculation of capacitance sensitivity)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

BPSK in Simulink. I m only sharing this work with you.