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descripteur sift 3D

聚类算法 k均值 该算法简单 容易看懂 是基本的算法(kmeans clustering )

主要对大量的原始数据进行标准化处理，便于进行分类，下次传交叉的(Mainly to the large amounts of original data standardization processing, to be convenient for the classification, next time the cross)

Half wave rectifier simulation for beginner

是一个小波降噪的程序，里边包括了小波降噪的实例，有三种方法：默认阈值去噪；软硬阈值的去噪；强制性去噪。(Is a wavelet noise reduction program, including the inside of the Wavelet Transform instance, there are three ways: the default threshold denoising hard and soft threshold de-noising mandatory de-noising.)

实现了DQPSK下用Gardner算法实现位同步，并对信噪比、余弦滚降因子的影响加以讨论(achieve symbol synchronous by Gardner in the condition of DQPSK)

Hashin UMat ABAQUS collected simwe that to the user good UMAT information, belongs to original author

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

说明：  通过矢量积的方式计算6R自由度机器人的雅可比矩阵。通过Matlab的脚本文件，将机器人的DH参数写在脚本开始出，修改此处可以修改机器人参数。(The Jacobi matrix of 6R degree of freedom robot is calculated by vector product. Through the Matlab script file, the robot's DH parameter is written on the script to start out, modify here, you can modify the robot parameters.)

说明：  改程序是计算G_P关联维维数的程序 混沌理论(G_P CorrelationDimension_GP\Main_CorrelationDimension_GP.m)