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ISGNN是对SGNN(self-generated neural network)的一种改进,是一种在线学习的算法.(ISGNN of discrete (self-generated neural netw EFCs) an improvement, an online learning algorithm.)

matlab模拟人走路，可拖动观察不同方位、不同步长等状态(matlab simulation of the human foot, drag observed in different directions, and long unsynchronized state)

支持向量机，matlab程序，适用于初学者(Support vector machine, matlab program for beginners)

利用matlab实现的HEFT算法，其中包含计算rank值(HEFT algorithm)

说明：  随着信息容量的增加和频率资源的稀缺，为提高单位频带利用率，在微波通信系统中越来越多地采用多电平多相位的复杂信号调制方式，尤其是正交幅度调制(QAM)得到了大量的应用，从早期的4QAM到今天的16QAM。高阶QAM调制大容量数字微波通信系统为了保证服务质量，降低误码率，(long with the increase of information capacity and frequency resource scarcity, for improving the utilization ratio, unit of microwave communication bandwidth used more and more in the system of multilevel much phase modulation method complex signal amplitude modulation )

复信号情况的基于信号先验特性函数的欠定盲分离(Blind Identification of Underdetermined Mixtures Based on the Characteristic Function The Complex Case)

kinect的simulink接口，通过simulink控制kinect(kinect based on simulink)

模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)

将OFDM的过程讲解得很清楚，很适合开始学习OFDM及ＭＩＭＯＯＦＤＭ　的同志们参阅(OFDM process will explain very clearly, it is appropriate to begin to learn OFDM and comrades MIMOOFDM see)