largest_lyapunov_exponent

功能描述：测试Levinson-Durbin算法 文件名：L_D_sim.m 测试用例： (1)x(n)+0.81*x(n-2)=u(n)，u(n)为高斯白噪声 (2)x(n)=u(n)+u(n-1)+u(n-2),u(n)为高斯白噪声 文件输出：两种测试用例情况下的功率谱 调用函数：function [A,E] = Levinson_Durbin_Algo(R,P) 被调用：无 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-13 版本：V1.0 ( Function Description: Test Levinson-Durbin algorithm file name: L_D_sim.m test case: (1) x (n)+0.81* x (n-2) = u (n), u (n) is Gaussian white noise (2) x (n) = u (n)+ u (n-1)+ u (n-2), u (n) is Gaussian white noise file output: two tests use case in case of power spectrum call the function: function [A, E] = Levinson_Durbin_Algo (R, P) is called: No of: mingcheng write time :2009-11-13 modified :2009-11-13 version: V1.0 )

这是一个关于永磁同步电机矢量控制的simulink模型，可以同过本历程自己修改模块得到自己想要的结果(This is a permanent magnet synchronous motor vector control on the simulink model, you can modify the same over the course of their module get the results you want)

重构Lorenz 时间序列的相空间图，并作分析(Lorenz time series reconstructed phase space, and for analysis)

Everyday Practical Electronics Magazine 2010 september

matlab教学或自学用的PPT教程，内容肺腑，包含实例教学，很实用(matlab or self-teaching tutorial with the PPT, the contents of the heart, including examples of teaching, very practical)

根据自己的需求产生加入特定方差的白噪声的状态量数据。(According to their specific needs generated by adding white noise variance of the state of traffic data.)

MATLAB Code for Particle Swarm Optimization Algorithm to optimized unconstrained Optimization Problem

OLTC的仿真源文件，可用于电压中长期稳定问题的分析，涉及分接头的转换。(OLTC simulation source files that can be used long-term voltage stability analysis, involving point conversion connector.)

SAR 信号处理中常用的带频移的傅里叶变换函数，可以直接对信号进行处理(SAR fft transform with fftshift)

说明：  基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function after each iteration, the clustering center and the clustering interval. There is test data ('data.mat') inside, click ' test.m' to be able to run perfectly.)