Gray

自己编的canny算子,可识别出图像中物体的轮廓,经典算法之一.(canny operator can identify the contours of objects in an image, one of the classic algorithms.)

SVPWM for Induction Motor

Matlab关于微分方程的解法，这个介绍很经典的

四级小波包分解的源程序，希望对大家有所帮助，怎么说也是呕心沥血的结果啊(matlab)

应用多元高斯声束叠加方法建立粉末合金构件的声场模型(sound field simulation sound field simulation sound field simulation )

这是一个半导体激光器弛豫振荡现象的仿真程序，计算参数和速率方程模型都取自经典教材Semiconductor Lasers(Agrawal 著)，可以作为学习和进一步研究半导体激光器各种动态特性的基础材料。(This is a simulation program by Matlab for calculating the oscilating in semiconductor lasers, in which the rate equation model and the parameters used are all from the classic technical monograph by Agrawal. This could be a basic material for further investigating and studying different dynamic activities of semiconductor lasers. )

基于双低频小波变换和k近邻分类器的人脸识别算法源程序(Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source)

speed control BLDC motor

说明：  this is source code for delta modulation in matlab

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.