cdma

SOM神经网络分类程序，使用matlab编写(SOM neural network classification procedures, the use of matlab to prepare)

两自由度非线性比例前馈四轮转向模型，测汽车质心侧偏角和横摆角速度(Two degrees of freedom nonlinear feedforward four-wheel steering model, auto measuring centroid side-slip Angle and yawing angular velocity )

1、Rayleigh_Doppler_singlePath.m 产生单径Rayleigh衰落，采用了6种方法并进行了比较，推荐使用第6种方法； 2、Rayleigh_Doppler_multiPath.m 根据多条径的延时和强度，产生频率选择性衰落； 在单径和多径两个程序中，均提供了其功率谱的输出代码； (1, Rayleigh_Doppler_singlePath.m Single Path Rayleigh fading generated using the six kinds of methods and compared recommend using the first six kinds of methods 2, Rayleigh_Doppler_multiPath.m Drive under a number of delay and intensity, resulting in frequency selective fading in single-track and multi-path two procedures, which provide the power spectrum of the output code )

通过matlab 实现通信的模拟调制与解调(analog AM)

流行学习isomap（有标注，便于更好理解等距映射方法在高维数据降维过程的实现）(Popular learning isomap (have annotations, facilitate better understanding isometric mapping method in the implementation of the high-dimensional data dimension reduction))

FDTD Analysis of Antenna

蒙特卡洛算法 mento carlo algorithm(mento carlo algorithm)

说明：  internal on line partial discharge

说明：  仿真实现了十三位巴克码进行脉内调相。很好的程序，亲自优化过。(Thirteen Barker codes are simulated for intra-pulse phase modulation. Good procedures, personally optimized.)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)