Independent Component Analysis源代碼,最大似然方法
標(biāo)簽： Independent Component Analysis 源代碼
上傳時(shí)間： 2014-01-12
上傳用戶：古谷仁美
Computational complexity analysis of H.264. Very useful document.
標(biāo)簽： Computational complexity analysis document
上傳時(shí)間： 2013-12-12
上傳用戶：ghostparker
功能為neighborhood components analysis，a quick matlab implementation of NCA (see Goldberger et al, NIPS04).
標(biāo)簽： neighborhood components analysis
上傳時(shí)間： 2013-12-11
上傳用戶：tianjinfan
Analysis beam propagration using Finite Difference Beam Propagation Method
標(biāo)簽： propagration Propagation Difference Analysis
上傳時(shí)間： 2014-01-14
上傳用戶：gmh1314
Altera Quartusii靜態(tài)時(shí)序分析（Static Timing Analysis）基礎(chǔ)及應(yīng)用
標(biāo)簽： Quartusii Analysis Altera Static
上傳時(shí)間： 2014-01-26
上傳用戶：a6697238
A Predictability Analysis of Network Traffic
標(biāo)簽： Predictability Analysis Network Traffic
上傳時(shí)間： 2013-12-19
上傳用戶：baiom
Performance Modeling and Analysis of Bluetooth Networks Polling, Scheduling, and Traffic Control.pdf
標(biāo)簽： Performance Scheduling Bluetooth and
上傳時(shí)間： 2015-12-24
上傳用戶：gtzj
This book is concerned with the description and analysis of the global second generation (2G) mobile radio systems: the Global System of Mobile Communications (GSM) and cdmaOne. A subsidiary goal is to examine how these two systems will evolve into third generation (3G) ones with their requirement to support multimedia mobile radio communications.
標(biāo)簽： description generation concerned the
上傳時(shí)間： 2014-01-14
上傳用戶：2467478207
算符優(yōu)先文法分析的c語(yǔ)言實(shí)現(xiàn)代碼 需要輸入詞法分析的txt結(jié)果文件- The operator first grammar analysis c language realization code needs to input the lexical analysis the txt result document
標(biāo)簽： realization analysis operator language
上傳時(shí)間： 2015-12-28
上傳用戶：youlongjian0
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been renewed interest in simulation-based techniques. The basic idea behind these techniques is that the current state of knowledge is encapsulated in a representative sample from the appropriate posterior distribution. As time goes on, the sample evolves and adapts recursively in accordance with newly acquired data. We give a critical review of recent developments, by reference to oil well monitoring, ion channel monitoring and tracking problems, and propose some alternative algorithms that avoid the weaknesses of the current methods.
標(biāo)簽： monitoring sequential industria accurate
上傳時(shí)間： 2013-12-17
上傳用戶：familiarsmile
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