matlab

Sheffield大学开发的matlab工具箱，内含实例。并附有《MATLAB遗传算法工具箱及应用》（西安电子科技大学出版社）对此工具箱及matlab7.0自带的GADS工具箱有详细介绍。(A matlab toolbox developed by Sheffield University, containing examples. Together with an introduction(Xidian University Press).)

用matlab程序来实现一首流行歌曲的演奏和播放(Matlab program to a pop music concert and play)

数字调制就是把数字基带信号的频谱搬移到高频处，形成适合在信道中传输的带通信号。基本的数字调制方式有振幅键控（ASK）、频移键控（FSK）、绝对相移键控（PSK）、相对（差分）相移键控（DPSK）。在接收端可以采用想干解调或非相干解调还原数字基带信号。 (Digital modulation is the spectrum shifting to high frequency digital baseband signals, suitable for the formation of bandpass signal transmission in the channel. Digital modulation basic amplitude keying (ASK), frequency shift keying (FSK), the absolute phase shift keying (PSK), relative (differential) phase shift keying (DPSK). At the receiving end can be used to dry the demodulation or non coherent demodulating the digital baseband signal. )

频散方程的相速度和群速度曲线分析和绘制，带备注。(frequency dispersion)

MIMO_System.m MIMO系统建模 WaterFilling_alg.m 注水算法的源程序(MIMO_System.m MIMO system modeling algorithm WaterFilling_alg.m water source)

chirp信号仿真,用于超宽带通信系统中,编码简单易懂(chirp signal simulation for UWB communication systems, easy-to-read code)

This example is based on the integration of interactive simulation environment simulink to do, mainly based on simulink modeling equations, gives the spring mass damper system. We hope to learn about simulink help.

多阵元天线方向图的形成，可用于和差波束测角，代码已经用过很多年，实测非常实用！(beam forming)

免疫遗传算法流程为： (1)随机产生初始父代种群A1 (2)根据先验知识抽取疫苗。 (3)若当前种群中已包含最佳个体，算法结束；否则进行以下步骤。 (4)根据抗体浓度和适应度进行复制。 (5)对当前第K代父代种群AK进行交叉操作，得到种群BK。 (Immune genetic algorithm process as follows: (1) randomly generated initial parent population A1 (2) vaccine based on a priori knowledge extraction. (3) If the current population already contains the best individuals, the algorithm ends otherwise, perform the following steps. (4) be reproduced in accordance with antibody concentration and fitness. (5) the population AK Present Generation K parent cross was obtained population BK.)

说明：  数据聚类，主要对于数据点进行聚类，输出节点分类情况和节点中心(Data clustering, mainly for data points clustering, output node classification and node Center)