可实现对二维数据的聚类，主要是基于mtlab的程序，单径或多径瑞利衰落信道仿真，包含特征值与特征向量的提取、训练样本以及最后的识别，各种kalman滤波器的设计，有循环检测，周期性检测，光纤陀螺输出误差的allan方差分析，感应双馈发电机系统的仿真。- Can realize the two-dimensional data clustering, Mainly based on the mtlab procedures, Single path or multipath Rayleigh fading channel simulation, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Various kalman filter design, There are cycle detection, periodic testing, allan FOG output error variance analysis, Simulation of doubly fed induction generator system.