Dynamics-Analysis-by-Numercial-Integration

轮廓波变换工具箱 希望对您有所帮助！有意自行下载(Contourlet toolbox)

说明：  interp1 - 一元函数插值 spline - 样条插值 polyfit - 多项式插值或拟合 lsqnonlin - 最小二乘法 lsqcurvefit - 最小二乘拟合 csape - 各种边界条件的样条插值 csaps - 样条拟合 interp2 - 二元函数插值 griddata - 不规则数据的二元函数插值 *lagrange - 拉格朗日插值法 方程求根 inv - 逆矩阵 eig - 特征值和特征向量 roots - 多项式的根 fzero - 一元函数零点 fsolve - 非线性方程组 solve - 符号方程解 *newton - 牛顿迭代法解非线性方程 *spgs - 大型稀疏方程组Gauss-Seidel迭代 微积分和微分方程 diff - 数值差分 diff - 符号导函数(Interp1 - unary function interpolation)

LDA 人脸识别的 matlab 源程序 大家看看 可以用的(LDA face recognition matlab source code you can look at the)

Matlab经典算法程序之规划问题，包含PPT讲义，可对照程序进行学习(Matlab classic algorithm of planning procedures, including PPT handouts can control procedures for learning)

this matlab script simulates Havriliak-Negami, Cole-Cole,Debye,Cole-Davidson fitting functions by comparing the numerical curves to experimental curves. The experimental database is selected by the program from a matrix in a text file

该程序是一个仿真模型，对窄带的带通滤波器进行了仿真(The program is a simulation model of narrow band pass filter was simulated)

运用matlab进行下个点的预测分析，并画出了预测误差示意图(use Matlab for the next point forecasts and analysis, and the mapping out of the prediction error Map)

现代电力系统分析书后PQ分解潮流计算程序(Modern power system analysis book PQ decomposition flow calculation procedures)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)

一个可以直接应用于扩频系统的m序列仿真，m序列具有很好的自相关性，是在扩频系统中应用最广的伪随机码，本程序可以直接在matlab上运行，对于扩频系统的学习有很大帮助。(Can be directly applied to a m-sequence spread spectrum system simulation, m sequences with good autocorrelation in the spread spectrum system, the most widely used pseudo-random code, the program can be run directly in matlab for Spread Spectrum Systems of great help in learning.)