Simulink-model-of-a-PV-array

分别在2幅灰度图像中加入一定量的高斯噪声和椒盐噪声，噪声强度自定。然后采用3×3的均值滤波器和3×3中值滤波器分别对噪声图像进行处理，给出两种处理方法的峰值信噪比(PSNR)；仿效“中值滤波”的方法，对原图像分别进行“极大值滤波”和“极小值滤波”，对所形成的图像给出说明。(Two gray-scale images a certain amount of Gaussian noise and salt and pepper noise , noise intensity since .)

压缩感知方面的17篇综述性文件Rice大学(review of compression sensing 17)

power saving visual basic code1

GrTheory - Graph Theory Toolbox. Functions: grBase - find all bases of digraph grCoBase - find all contrabases of digraph grCoCycleBasis - find all independent cut-sets for a connected graph grColEdge - solve the color problem for graph edges grColVer - solve the color problem for graph vertexes grComp - find all components of graph

概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)

Image Segmentation (Foreground separated from Background).

S-function of MPPT for PV

lecture series of matlab

实现数据的简单DS融合，里面包含已有的五种数据的，利用贝叶斯、随机森林、k近邻分类器分类，最后融合(Simple DS fusion of data, which contains five kinds of data, uses Bayesian, random forest, k-nearest classifier to classify, and finally fuses.)

说明：  这个是基于ASM和AAM编写的手势识别的matlab代码(This is written based on ASM and AAM gesture recognition matlab code)