CRYPTO

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)

本书提供 matlab 环境下的各种命令，包括详细的参数介绍。(book Matlab environment under the various orders, including the detailed parameters introduced.)

npk permutation selecting k at a time out if n

能够画出贝里尔曲线，根据给定的点，可以改变参数设置达到要求。(Able to draw Beryl curve, according to the given point, you can change the parameter settings meet the requirements.)

数字信号处理，对图像进行DCT，可选择压缩率，matlab实现DCT(DCT by matlab)

This is the CRB caculated for an OFDM system to compair belind channel estimation. CRB is Cramer Rao bound and it is the lowest bound for analyzing the devlopement of algorithms of channel estimation.

径向基神经网络,使用的算法梯度下降法,比较清晰,适合于初学神经网络的用户(RBF neural network, using gradient descent algorithm, more clarity, suitable for novice users of neural network)

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

说明：  遗传算法 求解单目标问题，采用二进制编码（matlab)(using genetic algorithm to optimize Single-objective function)

正弦电压PWM逆变器的仿真，使用了自己搭建的PWM产生模块，带阻感负载。(Sinusoidal voltage PWM inverter simulation, using its own built PWM generation module, with a sense of the load resistance.)