This sample demonstrates features of the Encoding class, including a fallback mechanism, NEW to the .NET Framework version 2.0, that allows you to specify its behavior when it encounters problems during the encoding or decoding process.
標(biāo)簽： demonstrates including mechanism the
上傳時(shí)間： 2016-03-30
上傳用戶：zhouli
英飛凌16位單片機(jī)xc167選型指南The XC167CI is a NEW derivative of the popular C166 microcontroller family that is based on the enhanced C166S V2 architecture it outperforms existing 16-bit solutions.
標(biāo)簽： microcontroller derivative 167 popular
上傳時(shí)間： 2013-12-27
上傳用戶：壞天使kk
NEW serializing arbitrary data structures
標(biāo)簽： serializing structures arbitrary data
上傳時(shí)間： 2014-12-21
上傳用戶：hfmm633
A NEW Soft Handoff Scheme using Signal Prediction Priority Queuing
標(biāo)簽： Prediction Priority Handoff Queuing
上傳時(shí)間： 2016-04-13
上傳用戶：wuyuying
A NEW PLL topology and a NEW simplified linear model are presented. The NEW fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a NEW simulation methodology it is possible to perform very accurate simulations, whose results match closely those obtained with the linear PLL model developed.
標(biāo)簽： NEW fractional-N synthesizer simplified
上傳時(shí)間： 2016-04-14
上傳用戶：hjshhyy
monte carlo 仿真英文電子書 AGuidetoMonteCarloSimulationsinStatisticalPhysics,Second EditionThis NEW and updated deals with all aspects of Monte Carlo simulation ofcomplexphysicalsystemsencounteredincondensed-matterphysicsandsta-tistical mechanics as well as in related ?elds, for example polymer science,lattice gauge theory and protein folding
標(biāo)簽： AGuidetoMonteCarloSimulationsinSt atisticalPhysics EditionThis Second
上傳時(shí)間： 2016-04-25
上傳用戶：xmsmh
C語(yǔ)言陷阱和缺陷 原著：Andrew Koenig - AT&T Bell Laboratories Murray Hill, NEW Jersey 07094 (翻譯：lover_P) 那些自認(rèn)為已經(jīng)“學(xué)完”C語(yǔ)言的人，請(qǐng)你們仔細(xì)讀閱讀這篇文章吧。路還長(zhǎng)，很多東西要學(xué)。我也是
標(biāo)簽： Laboratories lover_P Andrew Koenig
上傳時(shí)間： 2013-12-26
上傳用戶：奇奇奔奔
NEW training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
標(biāo)簽： classification algorithm for training
上傳時(shí)間： 2014-12-20
上傳用戶：stvnash
When you start a NEW project in c++ or java ,usb source code
標(biāo)簽： project source start When
上傳時(shí)間： 2013-12-16
上傳用戶：Yukiseop
presents a NEW particle filter that maintains samples in the state space at dynamically varying resolution for computational efficiency
標(biāo)簽： dynamically maintains presents particle
上傳時(shí)間： 2016-05-08
上傳用戶：
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