bpannpid

说明：  基于BP网络的字母识别MATLAB源程序，可以对给定的字母进行识别。(BP network based on letter recognition MATLAB source, you can identify a given letter.)

光在格子中传播,前30为有格子，后35为无格子，描述其轨迹(propogaton in lattice for the first 30,there be in lattice and the nex 35 thera is no lattice)

形成14节点的电力系统节点导纳矩阵，其中包含程序运行时所用到的关于网络的参数表，程序有详细的注释(Forming a 14-node system node admittance matrix of power, which includes the use of the program is running on the network parameter table, the program has detailed notes)

说明：  肌电信号多维特征提取 +均方根值+中值频率+平均功率频率(Multidimensional Feature Extraction of EMG Signal)

这个m文件实现了Newton raphsom算法，从而解决分布式功率流问题。(M realized this document Newton raphsom algorithm, so as to solve the problem of distributed power flow.)

DMI直接矩阵求逆，含有期望信号和不含有期望信号的对比图(DMI direct matrix inversion, with the desired signal and does not contain the desired signal of the comparison chart)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

说明：  轨道动力学的一些有关算法，包括拉格朗日系数计算，轨道根数求解等(Some algorithms of orbital dynamics, including calculation of Lagrange coefficients, solution of orbital elements, etc.)

基于振动信号的频域处理算法，主要是细化FFT方面的代码(Based on vibration signal in frequency domain processing algorithms, mainly in refining the code FFT)

说明：  总体最小二乘法的ESPRIT方法，这种算法的估计精度明显好于原来的ESPRIT算法。可以很好的估计出信号的角度。仿真中用的是均匀阵列。(Total least squares method of the ESPRIT method, the algorithm of the estimation accuracy significantly better than the original ESPRIT algorithm. Can be a very good signal to estimate the angle. Simulation using the uniform array.)