FDTD_reflecandtrans

说明：  Singular Spectrum Decomposition，即奇异谱分析，广泛应用于信号识别与预测。(Singular Spectrum Decomposition)

Matlab手册，涉及功能比较广，而且有例子，适合入门。(Matlab manual, involving broad features, and examples of suitable entry.)

瑞利衰落信道仿真，需要的朋友可以参考一下的。(Rayleigh fading channel simulation, the needs of friends can refer to it.)

结构动力响应求解Newmark方法Matlab程序(Newmark method of solving structural dynamic response Matlab program)

intrioduction to power electronics

具有丰富的参数选项,用于特征降维，特征融合，相关分析等,基于kaiser窗的双谱线插值FFT谐波分析。( It has a wealth of parameter options, For feature reduction, feature fusion, correlation analysis, Dual-line interpolation FFT harmonic analysis kaiser windows.)

用于数学建模解决最短路径或者类似的优化问题(Mathematical modeling is used to solve the shortest path or similar optimization problems)

本程序为[MATLAB语言常用算法程序集].(龚纯).清晰版书中求解非线性方程组的一种方法：不定点迭代法(This program is [MATLAB language commonly used algorithm for assembly] (Gong pure) clear version of the book method for solving nonlinear equations: fixed point iteration method)

用matlab自带的聚类函数进行聚类，输入为特征矩阵，输出的是聚类图(Clustering clustering comes with matlab function, input feature matrix, the output is dendrogram)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.