InductionMachines

没什么好东西！只是BP，PID算法而已！可以看看过得去(nothing good things! Only BP, PID algorithm! Can look at the little things)

this program calculates poisson equation

通用的灰色预测程序，里面的数据替换一下，就可以使用(Common gray forecasting process)

实现提取车牌的车牌边框去除，效果较好，可以一试。(Achieve extraction of the license plate frame license plate removed, is better.)

主要关于循环码的MATLAB仿真分析源程序及结果图。(Cyclic codes is mainly concerned with the analysis of the source code and MATLAB simulation results Fig.)

对连续语音信号进行分帧的matlab程序(of continuous speech signal-frame Matlab procedures)

复杂网络 节点收缩法 节点重要度评估方法(Node shrinkage of the node importance uation method for complex networks)

用MATLAB对给定信号做短时傅里叶分析 用MATLAB对给定信号做短时傅里叶分析(Using MATLAB for a given signal the short time Fourier analysis Using MATLAB for a given signal the short time Fourier analysis)

这是通过hfss软件设计915m超高频偶极子天线工程 此设计只通过仿真验证 没有制作实物验证(It is designed to 915m UHF dipole antenna hfss software engineering through the design just does not make physical verification by simulation)

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)