本文档反映的是Sun Microsystem公司，Java语言规范中的编码标准部分。主要贡献者包括：Peter King，Patrick Naughton，Mike DeMoney，Jonni Kanerva，Kathy Walrath以及Scott Hommel。本文档现由Scott Hommel维护，有关评论请发至shommel@ENG.sun.com。
标签： Microsystem Sun 文档
上传时间： 2013-12-16
上传用户：熊少锋
ShCti driver user s manual, y Details NDIS driver development, Under XP-driven development (ENGl Based on the expansion of passthr Parallel and Distributed Simulati The driver of a scanner to prepar Tuopu TCB8000 Chinese liquid crys USB development with Delphi sourc This is a printer port control-dr
标签： development driver XP-driven Details
上传时间： 2014-01-09
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Data Structures and Algorithms with Object-Oriented Design Patterns in Java Bruno R. Preiss B.A.Sc., M.A.Sc., Ph.D., P.ENG. Associate Professor Department of Electrical and Computer ENGineering University of Waterloo, Waterloo, Canada
标签： B.A.S R. Object-Oriented Algorithms
上传时间： 2017-03-07
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Fundamentals of Electromagnetic with Matlab very good book for EM via MATLAB for Electrical ENGineering
标签： Electromagnetic Fundamentals Electrical for
上传时间： 2013-12-25
上传用户：zm7516678
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.ENG.yale.edu/enalab/aspire.htm
标签： computing lifetime wireless M-files
上传时间： 2014-01-01
上传用户：lnnn30
使用matlab实现gibbs抽样，MCMC: The Gibbs Sampler 多元高斯分布的边缘概率和条件概率 Marginal and conditional distributions of multivariate normal distribution
上传时间： 2019-12-10
上传用户：real_
A few years ago I stood before an audience at a customer’s facility explaining the merits of micromachining technology. The small conference room was packed, and all ears were attentive. Everyone was eager to learn about thismysteriousbuzzword, “MEMS.”Although many in the audience were nodding in a sign of comprehension, the glazed lookson their facesbetrayed them. Thisexperience isnot unique, but one that isrepeated frequently in auditoriumsaround the world.
上传时间： 2020-06-06
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