ChaosToolbox1.0_trial_matlab7.0.rar

Linear block code hamming 74

数字识别，用MATLAB编程实现，十分有用(Digital Identification, using MATLAB programming, very helpful)

Ball moves in circular trajectory

The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimation of H data. In practice, however, the classical estimation techniques can be severely affected by nonstationary artifacts in the time series.

MATLAB 电机仿真教程，非常详细的仿真，希望对大家有帮助。(MATLAB motor simulation tutorial, a very detailed simulation, we want to help.)

gold序列产生的源程序，用matlab编程实现的，并附有解释和说明(gold source sequence generated by the matlab programming, with explanations and justifications.)

一个扩展卡尔曼滤波的matlab程序,是个不错的学习例子(An extended Kalman filter matlab procedures, be a good learning example)

小波模极大值用于边缘提取，是学习小波的好的程序及学习资料……(Wavelet modulus maxima for edge extraction, wavelet is learning good program and learning materials ...)

hammer collision with a mass-spring system

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)