huise

Computational Building Physics and Systems 5

mm1排队系统仿真的matlab程序实现(mm1 queuing system simulation matlab program)

基于matlab平台实现,基于互功率谱的时延估计，含噪脉冲信号进行相关检测。( Based on matlab platform, Based on the time delay estimation of power spectrum, Noisy pulse correlation detection signal.)

Its a Ellipse fitting algorithm for fitting Ellipses to a set of points in a image.

Software defined radio simulation

Evaluation of Queue Management Algorithms

对变速率的数字信号处理的仿真实验进行验证，进行相应的滤波器的设计，以减少变速率中的失真(Variable rate digital signal processing of the simulation experiment for authentication, corresponding to the filter design, in order to reduce the distortion in the variable-rate)

Energy Impact of Emerging Mobile Internet Applications on LTE Networks: Issues and Solutions

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.)

实现RLS的matlab程序，是递归最小二乘法的推广和运用