nlms

这篇文档主要介绍当前超分辨率研究的状况，研究方法，以及今后的发展方向等。(super-resolution multi-frame)

利用时域有限差分法对基于表面等离子体的天线进行模拟(Use of finite difference time domain simulation method based on surface plasmon antenna)

水声kraken模型程序的使用说明性文章，详细讲解了kraken模型原理以及程序包的使用，非常经典，本站基本找不到类似的！(Acoustic kraken model program using descriptive article gave a detailed kraken model principle and the use of the package, very classic, basic can not find a similar site!)

A guide to matlab for beginner

这个程序是在MATLAB下运行，对图像进行边缘检测。(This program is carried out on the image edge detection.)

常用的MATLAB变换代码，1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇适合初学者(MATLAB transform code commonly used 1-32 is: graphics articles 33-66 is: interface design articles 67-84 is: is the graphics chapter 85-100: Numerical Analysis Section for beginners)

matlab code for seismic Migration

here is the matlab plot of the few equation in mupad.this is the matlab tool which is used for 2d - 3d plots. even it is very useful solving equation by simple commands like solve.

Performance comparison of saturated throughput of CoopMAC and IEEE 802.11 DCF mode. Analytical model used is based on the one described in performance analysis of ieee 802.11 dcf by guisseppe bianchi.

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.)