光谱匹配识别基本算法-spectral-matching-algorithms

This folder contains Matlab code for running symmetry detection algorithm

实验二　离散时间傅里叶分析 1． 离散时间信号 ， ，求 的傅立叶变换 。 离散时间信号 ， ，求 的傅立叶变换 (Experiment 2 discrete-time Fourier analysis 1. Discrete-time signal, find the Fourier transform. Discrete-time signal, find the Fourier transform)

This demonstrates the use of subtractive clustering to model traffic patterns in an area based on the area s demographics.

对参差动目标检测（MTI）进行仿真研究，画出了其频率响应曲线，可以在源码中改动初始参数来得到想要的仿真(For mixed moving target detection (MTI) simulation study, draw the frequency response curve, the initial parameters can be changed in the source code to get the desired simulation)

说明：  Noise in linear system 国外教材 作业程序(Noise in linear system operating procedures of foreign materials)

椭圆方程泊松方程 matlab的有限元求解(Finite Element Method for Elliptic Equations)

LE算法的MATLAB源程序，大学老师亲自编辑，可直接运行，对初学matlab的朋友们很有帮助(LE algorithm MATLAB source, university teacher personally editor, can be directly run matlab for beginners helpful friends)

超材料的参数提取程序，给出了参考的文献。matlab编程，测试可使用(Parameter extraction procedure metamaterials given reference literature. matlab programming, testing can be used)

理论力学经典问题数值模拟课件，平底凸轮的动画演示。显示了不同动点的选择，相对运动轨迹的形式。(Numerical simulation of the classic problems of theoretical mechanics courseware, flat cam animation. Shows the different choices of fixed points, the relative trajectory of the form.)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )