data197

编程实现基于小波变换尺度相关性去噪算法，结合例子验证该算法的去噪性能(Programming based on wavelet transform denoising algorithm scale correlation, combined with examples of verification of the algorithm de-noising performance)

基于径向基神经网络的无网格法及其应用，神经网络的应用(Radial Basis Function Neural Network Based on the non-grid method and its application)

说明：  本程序为误差椭圆matlab例程，工程应用(This procedure for the error ellipse matlab routines, engineering applications)

模糊C均值聚类算法,模糊C-均值算法(FCM)是一种能自动对数据样本进行分类的模糊聚类方法,通过优化目标函数得到每个样本点对类中心的隶属度来决定各样本点的归属.(FCM clustering)

一个完整的多机器人路径规划程序，主要完成多机器人任务中的室内路径规划(A complete multi-robot path planning program, mainly to complete the indoor path planning of multi-robot tasks)

possion方程的fem求解，生成刚度阵。欢迎提出宝贵意见。(fem for solving the possion equation ，stiffness matrix is generated. Welcome to give valuable advice.)

Spectrum Analysis using FFT

Email parser in C# dotnet

产生有色噪声污染的谐波，并设计带通巴特沃斯滤波器和切比雪夫I型滤波器(Colored noise pollution generated harmonics, and to design band-pass Butterworth filter and Chebyshev-I filter)

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. )