fd2dxKin2

OFDM对频偏比较敏感，提出了基于循环前缀的频偏估计方法(OFDM is relatively sensitive to frequency offset, frequency offset estimation method is proposed based on cyclic prefix.)

基于Ncut谱聚类的例子，其中包含了SVM代替k-means的方法进行后续分类。(Example of Ncut spectrum clustering .)

GRNN的数据预测-基于广义回归神经网络货运量预测(GRNN data to predict- based on generalized regression neural network volume forecast)

Space-Time Codes and MIMO Systems书籍及书籍内matlab代码程序，程序非常好，对研究MIMO系统的研究人员很有用(Space-Time Codes and MIMO Systems book and matlab code)

用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确(Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct)

关于短路仿真的一些源程序同时是有关多目标优化的源程序(Some source of genetic algorithm for multi-objective optimization is also the source)

ofdm的matlab仿真，其中含有3个示例(ofdm simulation in matlab, which contains three sample)

bwlabel homework matlab

说明：  将标准微粒群算法进行改进，从而解决标准PSO算法的容易陷入局部最优解的情况。(The standard particle swarm algorithm is improved so as to solve the standard PSO algorithm is easy to fall into local optimal solution of the situation.)

Prony分析是获取系统振荡模式特征的一种非常有效的方法，它可以通过给定输入信号下的响应直接估计系统的振荡频率、衰减、幅值和初相位。本文基于Prony算法提出一种用振荡模式能量级鉴别电力系统大干扰下主导低频振荡模式的方法。(Prony analysis acquisition system oscillation mode features a very effective way, It can set the input signal to the estimated direct response to the oscillation frequency, attenuation, amplitude and phase. Based on Prony algorithm proposed by the energy level oscillation mode differential interference large power systems under low-frequency oscillation mode lead style approach.)