LDPCcodes

电动势负反馈的速度,电流双闭环直流调速系统仿真 (Negative feedback of the speed electromotive force, current Double Loop DC Motor Control System Simulation)

《matlab40个经典案例》书本PDF扫描版和源程序。福利继续上。欢迎指教(" Matlab40 a classic case of" book PDF scan version and source code. Benefits continue on. Welcome advice)

matlab 图像处理中的图像增强 直方图均衡化 (under matlab)

This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally.

说明：  变窗宽模拟仿真的MATLAB程序 回归函数的估计mp,估计的偏差px,估计的方差vx(Variable window-width of the MATLAB simulation procedures for regression function estimation mp, the estimated bias px, the estimated variance vx)

ofdm信号模拟 16qam调制，解调，发送信号，接受信号，(ofdm signal simulator)

fastica算法的matlab实现，可分离混合信号(the implement of fastICA based on matlab)

《Simulink电子通信仿真与应用》，通信专业的好书，详细介绍在MATLAB的SIMULINK环境下如何进行建模仿真(Simulink simulation and application of electronic communications, communications professional books, detailing the circumstances in MATLAB-SIMULINK model and simulate how)

根据Barabasi等人提出的无标度模型复杂网络生成的preferential attachment原理，生成指定规模的无标度网络的邻接矩阵。(Based on the preferential attachment mechanism proposed by Barabasi et al, the code functions to generate the adjacency matrix for a scale-free network with given size.)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)