dianliumoxing

在图像检索中需要利用对图像的形状处理，本代码求7个HU不变矩(In image retrieval need to use the shape of the image processing, the code same moment seeking 7 HU)

New ant based protocol implemented for Ns2 and for higher versionAnt Based Adaptive Multicast Routing Protocol (AAMRP).

说明：  通过在MATLAB平台上比较BP神经网络的三种训练方法－trainbr traingdm trainlm.并且网络中加入噪音！(through MATLAB platform comparison BP neural network training method for the three-trainbr traingdm trainlm. Network and add noise!)

自己编写的ga（遗传算法）matlab工具箱。对比过，速度挺快的。(I have written ga (genetic algorithm) matlab toolbox. Been compared, the speed very fast.)

MATLAB经典潮流计算代码，采用的是牛顿拉夫遜法，木器哦按实用最为广泛(Classic MATLAB flow calculation code, using the Newton Raphson method, the most widely used wood oh by practical)

convolution algorithm compression

说明：  这篇文章是关于标准空间二次曲面拟合的研究,对于齿轮研究者有很好的参考价值,希望大家喜欢(This article is about the standard space quadric fitting studies, researchers for the gear have a good reference value, I hope you like)

利用remez设计rrc滤波器,通过迭代算法实现(use the remez to design rrc filter)

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.)

用基本蚁群算法实现CDMA系统中的多用户检测(Basic ant colony algorithm with CDMA systems multiuser detection)