PID algorithm simulation program, including rk 四阶算法。
标签： simulation algorithm including program
上传时间： 2015-03-20
上传用户：youth25
传输资料加解密,再以非对称式加密法中...Data Encryption Standard (DES) algorithm,Fast ...经Triple DES CBC 演算法对私密金钥做加密或解 密.使用者可从网站下载NCNUCA的凭证产生程式,自行产生
标签： Encryption DES algorithm Standard
上传时间： 2015-03-20
上传用户：shawvi
Embedded Web Server Architecture for Web-based Element and Network Management关于嵌入式Web服务器的完整论文
标签： Architecture Management Web Web-based
上传时间： 2015-03-22
上传用户：jyycc
In each step the LZSS algorithm sends either a character or a <position, length> pair. Among these, perhaps character "e" appears more frequently than "x", and a <position, length> pair of length 3 might be commoner than one of length 18, say. Thus, if we encode the more frequent in fewer bits and the less frequent in more bits, the total length of the encoded text will be diminished. This consideration suggests that we use Huffman or arithmetic coding, preferably of adaptive kind, along with LZSS.
标签： algorithm character position either
上传时间： 2014-01-27
上传用户：wang0123456789
用于脑电信号特征提取的InfoMax Algorithm Based on ICA；也可以稍作改动用于其他信息提取。
标签： Algorithm InfoMax Based ICA
上传时间： 2014-01-22
上传用户：diets
apriori java 实现 * A program to find association rules with the apriori algorithm (Agrawal et al. 1993).<br> * Other than the standard apriori algorithm, this program enable to find<br> * apriori all relation.
标签： apriori association algorithm Agrawal
上传时间： 2013-12-21
上传用户：s363994250
TCP/IP Lean: Web Servers for Embedded Systems, Second Edition
标签： Embedded Edition Servers Systems
上传时间： 2014-06-08
上传用户：h886166
samsung nand flash k9f series ECC algorithm
标签： algorithm samsung series flash
上传时间： 2015-03-28
上传用户：wlcaption
〈EVC高级编程及其应用开发（Embedded Visual C++嵌入式编程）〉书上的源代码 全书共分13章，分别为WinCE及EVC概述、图形编程、对话框控件、进程、线程、文件和注册表、WinCE基础数据库编程、WinCE扩展数据库编程、通讯编程、UDP和PING编程、TCP编程、DLL编程以及COM编程。读者在具有一定C抖和WinCE知识的基础上，通过本书的学习，可以快速提高WinCE的编程能力和实际开发水平。
上传时间： 2015-03-29
上传用户：moerwang
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
标签： instantaneous algorithm Bayesian Gaussian
上传时间： 2013-12-19
上传用户：jjj0202
