package_emd

关于MATLAB的经典教程，百看不厌，十分经典。(classic tutorial about matlab,and it is suitable fot the fresh man.)

这些文件夹里面包含着卷积码、调制、加高斯白噪声的程序、多径衰落径道的程序。。对那些初学者是很有帮助的。。。(The folder contains a convolutional coding, modulation, plus Gaussian white noise process, multi-path channel fading process. . Is very helpful for those beginners. . .)

针对嵌入水印后的二值图像，利用其频域特性检测隐藏信息。(embedded watermark of two binary images, using its frequency domain characteristics of detecting hidden messages.)

基于李雅普诺夫稳定性模型参考自适应控制的参考程序(based on Lyapunov stability theory of model reference adaptive control)

card application spec

PARTICLE SWARM OPTIMIZATION BASIC CODE

这是一个声纹识别程序，基于matlab实现，通过建模，简历声纹模型，认证时自动识别(This is a voiceprint identification procedures, based on matlab realize, through modeling, resume voiceprint model, automatic identification authentication)

说明：  一个升压电路，可以作为开发电力电子直直升压电路参考，使用全桥整流。(A boost circuit can be used as a reference for the development of power electronics direct boost circuit, using full bridge rectifier.)

Paper Abstract – An adaptive control of Distributed Generation (DG) to provide predictable active power output at the primary distribution substation is described. Often, distribution networks accommodate renewable energy different energy sources and thus using different energy conversion sources. As the amount of generation that comes intermittent renewable sources (e.g. wind energy) increases, network operators start to concern with the uncertainty of generation. However, when the power output intermittent renewable sources is predicted, the network operators can reduce the operational costs of the network and the DG owners may go on the market. Thus, our challenge with this work was to develop an algorithm which can predict the active power output the aggregation of wind and biomass energy at the primary distribution substation of a typical distribution network. Wind and biomass energy plant are onto the same distribution network but not necessarily onto the same feeder.

计算直流潮流的算法，基于MATLAB，忽略无功功率，只考虑有功功率。(DC Power Flow Algorithms)