palabos-v1.0r1

this demo on neural network creation

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)

说明：  这是一个计算两个点源之间由于光力的程序。(This Program calculates tansverse Optical Force in two point sources. )

基于语音信号处理的MATLAB平均幅度差函数，比自相关函数计算量要少。(Based on the average amplitude of the speech signal processing functions, less than the autocorrelation function computation.)

通过MATLAB实现对无排队等待的呼叫系统的仿真，并且得出在不同的呼叫到达速率下系统的阻塞率，并且和理论的erlangB公式做出对比。(MATLAB to achieve through the call without waiting in line system simulation, and come to a different call arrival rate in the system blocking rate, and the formulas and theories erlangB to make comparison.)

EasyEnsemble和BalanceCascade是两类不平衡数据集的学习方法(EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training speed of under-sampling. )

svkernel函数为核函数 ,容易实现 , 参照核函数的公式编写代码就成(matlab)

ALAMOUTI ALGORITHM CODE FOR OFDM

matlab e-book for how to use matlab

svd和nmf的对比，在时间和效果对比，各个算法的特点(svd VS nmf)