windows_memcache_install

】UWB 以其高速率、高频谱利用率、低成本、低功耗和应用范围广等一系列优点受到业界前所未有的关注。正是 由于其高性能、低成本的无线数据通信能力，成为实现无限个人局域网的富有竞争力的技术之一。在介绍超宽带技术(UWB)基 本特点和原理的基础上，重点讨论了该技术在家庭网络中应用的优势和实现，并介绍了超宽带技术在其他方面的最新应用。(】 UWB with its high-speed, high spectral efficiency, low cost, low power and wide application and a series of advantages unprecedented attention by the industry. It is precisely because of its high-performance, low-cost wireless data communication capabilities, unlimited personal LAN to achieving competitive technologies. Introducing the ultra-wideband technology (UWB) basic characteristics and principles, based on a focus on the application of technology in the home network and realize the advantages, and describes other aspects of UWB technology in the latest application.)

1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. ( 1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. )

C语言实现MATLAB 6_5中M文件的方法 。(C language MATLAB 6_5 in the M documents.)

matlab 主成分分析，内含数据和程序源码。很好的数学建模资料(Principal component analysis )

svm-km支持向量机工具箱，特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器.(svm-km SVM Toolbox, is characterized by experience that they can while minimizing errors and maximizing geometric border zone. therefore support vector machine is also known as the maximum marginal zone classification.)

4 State trellis for Mimo using viterbi hard decoding

说明：  最小均方自适应滤波算法（LMS）与归一化最小均方自适应滤波算法（NLMS）的对比(Comparison of Least Mean Square Adaptive Filtering Algorithm (LMS) and Normalized Least Mean Square Adaptive Filtering Algorithm (NLMS))

kernel method 工具箱，包含基本的kernel的使用实例(kernel method toolbox, including the use of examples of the basic kernel)

说明：  this file IS ABOAT UNSCENTED KALMAN FILTER.

A significant amount of papers has been published on web server server modeling and control. This survey presents the current results in these two fields. Background information is given that explains and examplifies the problems found in respective fields. A list of references for further reading is included