equalization_init

Direct torque control asynchronous machine

最先提出深度学习算法hinton的自动编码器matlab代码，内容是：利用多层rbm进行自动编码的多层特征训练，然后使用梯度算法进行fine turn。可以进行特征提取，也可以进行分类。压缩包里已带有训练用签字图片数据。相应算法说明可以查看hinton于2006年发表在 science的文章(First proposed deep learning algorithm hinton automatic encoder matlab code that reads: multilayer rbm automatic encoding multi-features of the training, and then use the gradient algorithm fine turn. Feature extraction can be classified. With compression bag has been training with the signature image data. Note You can view the corresponding algorithm was published in 2006 in hinton science articles)

有关matalab方面的仿真文献，希望大家有好的东西都能够共享！(Matalab aspects related to the simulation literature, I hope everyone has good things to share!)

电力电子、电机控制系统仿真模型 洪乃刚版本 经典实例原文代码(Power electronics, motor control system simulation model)

Sametime software zip

对小波信号处理采用新的方法，三种预值法和杨氏估计的方法等。(Wavelet signal processing on a new method, three kinds of prediction value and the method of young s estimate, etc. )

支持向量机matlab程序 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(Support vector machine matlab procedures (1) Main_SVC_C.m--- C_SVC II classification algorithm (2) Main_SVC_Nu.m--- Nu_SVC II classification algorithm (3) Main_SVM_One_Class.m--- One-Class Support Vector Machine (4 ) Main_SVR_Epsilon.m--- Epsilon_SVR regression algorithm (5) Main_SVR_Nu.m--- Nu_SVR regression algorithm)

text hide in an another image using LSB steganography.

SimEvents® extends Simulink® with tools for discrete-event simulation of the transactions between components in a system architecture. You can use the architecture model to analyze performance characteristics such as end-to-end latencies, throughput, and packet loss. SimEvents can also be used to simulate a process, such as a mission plan or a manufacturing process, to determine resource requirements or identify bottlenecks.

说明：  matlab里支持向量机工具箱，好用(matlab in Support Vector Machine Toolbox, easy to use)