twopoint

说明：  涡流计算的流场程序，适合于流场初级者的研究(Vortex flow calculation procedure is suitable for those who study the primary flow field)

说明：  垂直阵测量误差分析及甚宽频带恒定束宽性能，吴国清的论文(Vertical array analysis and measurement error is very broadband constant beamwidth performance, Wu Guoqing papers)

说明：  这是国外一个PLS工具箱，还有GUI，非常方便，包括了iPLS、biPLS、MWPLS等常用PLS方法(This is a PLS Toolbox abroad, as well as GUI, very convenient, including the iPLS, biPLS, MWPLS and other commonly used methods PLS)

Image fusion is the process of combining two images and obtaining the resultant image which is having more information than the two input images.

UCA Real Beamforming performance via SNR

这四个程序分别为高斯消去法、列主元消去法、全主元消去法解线性方程组和Gauss-Jordan消元法求矩阵的逆。 　　程序采用MATLAB语言开发，并在MATLAB6.5下测试通过。(The four procedures were Gaussian elimination, elimination method out PCA, PCA-wide elimination method solution of linear equations and Gauss-Jordan elimination method of inverse matrix. Procedures for the use of MATLAB language development, and under MATLAB6.5 test.)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

用于Matlab环境下开发的求解VRP问题的源代码(Matlab environment for the development of the source code for solving VRP problems)

灰色神经网络的预测算法—订单需求预测matlab源代码(Gray neural network prediction algorithm- order demand forecast)

THis code removes the object shadow