lylorenz.f90

用matlab实现3D骨架提取的抽取基本点集算法(sdfp oepo doip)

虚拟激励法的实现，4自由度的随机振动问题，包含详细说明，对出学者有很好启示作用！(The realization of the virtual excitation method, 4 degrees of freedom random vibration problems, including details of the scholars have a good inspiration!)

说明：  针对给定信号采用不同的经典功率谱估计方法进行信号的谱估计，性能不错！(For a given signal using different classical power spectrum estimation methods for signal spectrum estimation, performance, good!)

对手势图像进行彩色图像和灰度图像转变，同时对RGB图像进行加噪声和滤噪处理(a hand guesture of RGB picture change into gray,and add into noise then filter the picture)

there is a matlab cod for computing Arnold Tongue in Hodgkin-Huxley model,and it occur when we have synchronization.This model is famous in neuroscience.

说明：  不变矩是模式识别里面很重要的一种技术，它可以用于提取不变性特征，从而进行模式识别，广泛用于图像处理当中，如图像特征匹配(Moment invariant pattern recognition which is a very important technology that can be used to extract invariant features for pattern recognition which is widely used in image processing, such as an image feature matching)

模式识别作业三，对属性的优先选择和数据分类。(Pattern recognition job priority attribute selection and data classification.)

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.

"average" filter, "gaussian" filter, "wiener" filter and the "median" filter

matlab的相空间重构代码，实测能用，是入门的非线性动力系统的好工具。(Good phase space reconstruction code!)