PID algorithm simulation program, including rk 四階算法。
標簽： simulation algorithm including program
上傳時間： 2015-03-20
上傳用戶：youth25
傳輸資料加解密,再以非對稱式加密法中...Data Encryption Standard (DES) algorithm,Fast ...經(jīng)Triple DES CBC 演算法對私密金鑰做加密或解 密.使用者可從網(wǎng)站下載NCNUCA的憑證產(chǎn)生程式,自行產(chǎn)生
標簽： Encryption DES algorithm Standard
上傳時間： 2015-03-20
上傳用戶：shawvi
Embedded Web Server Architecture for Web-based Element and Network Management關(guān)于嵌入式Web服務(wù)器的完整論文
標簽： Architecture Management Web Web-based
上傳時間： 2015-03-22
上傳用戶：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.
標簽： algorithm character position either
上傳時間： 2014-01-27
上傳用戶：wang0123456789
用于腦電信號特征提取的InfoMax Algorithm Based on ICA；也可以稍作改動用于其他信息提取。
標簽： Algorithm InfoMax Based ICA
上傳時間： 2014-01-22
上傳用戶：diets
apriori java 實現(xiàn) * 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.
標簽： apriori association algorithm Agrawal
上傳時間： 2013-12-21
上傳用戶：s363994250
TCP/IP Lean: Web Servers for Embedded Systems, Second Edition
標簽： Embedded Edition Servers Systems
上傳時間： 2014-06-08
上傳用戶：h886166
samsung nand flash k9f series ECC algorithm
標簽： algorithm samsung series flash
上傳時間： 2015-03-28
上傳用戶：wlcaption
〈EVC高級編程及其應(yīng)用開發(fā)（Embedded Visual C++嵌入式編程）〉書上的源代碼 全書共分13章，分別為WinCE及EVC概述、圖形編程、對話框控件、進程、線程、文件和注冊表、WinCE基礎(chǔ)數(shù)據(jù)庫編程、WinCE擴展數(shù)據(jù)庫編程、通訊編程、UDP和PING編程、TCP編程、DLL編程以及COM編程。讀者在具有一定C抖和WinCE知識的基礎(chǔ)上，通過本書的學(xué)習(xí)，可以快速提高WinCE的編程能力和實際開發(fā)水平。
上傳時間： 2015-03-29
上傳用戶：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.
標簽： instantaneous algorithm Bayesian Gaussian
上傳時間： 2013-12-19
上傳用戶：jjj0202
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