SelfSupARTMAP

全面、专业的介绍matlab中模块mulink模块的使用方法，列举的例题包含操作流程，非常实用。(Comprehensive, professional introduction matlab in Ostrava mulink modules to use, citing the examples include operating procedures, very practical.)

OFDM系统的频率偏移量与error的关系曲线(OFDM systems with frequency offset error of the curve)

阵列处理的一个分支，空间谱估计中的MUSIC和ESPRIT算法(Array processing, a branch of the MUSIC spatial spectrum estimation and the ESPRIT algorithm)

计算流体力学基础及其应用第七章超声速喷管流动数值解的matlab代码，代码全是自己编写。(Foundation and Chapter 7 Numerical Solution of supersonic nozzle flow hydrodynamic calculation matlab code, the code is all I have written.)

说明：  针对多通道卷积混叠模型,基于信息理论的最小熵准则,利用单时间点观测样本给出了一类多通道盲反卷积 方法,这种方法不同于其它方法的地方在于考虑了源和观测信号的上下文信息.(A blind deconvolution algorithmfor a multi- channel convolution mixing model was derived. The algorithm is based on a minimum entropy contrast of information theory. The difference of the algorithm with the others is that the context message is used in contrast.)

这是关于时频分析的Wigner-Ville分布的完美程序,仿真出来的分布很好很完美,欢迎下载.(This is the time-frequency analysis of the Wigner-Ville distribution of a perfect process, Simulation of the distribution are very good, and very perfect, welcomed download.)

fdtd code original calculation

MATLAB神经网络工具箱函数说明，对神经网络工具箱进行了详细说明，适合初学者(MATLAB neural network toolbox function description of the neural network toolbox is described in detail, suitable for beginners)

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)

用matlab实现插值与拟合，统计领域用的比较多(Matlab implementation with interpolation and fitting, statistical areas are more used)