▍1. can_bus_protocol_2.0b
can bus protocol 2.0b
电力系统负荷分配,基于等微增率的电力系统负荷分配。(Power system load distribution, based on equal incremental load distribution power systems.)
这是一部伟大的书籍.这是英国着名物理学家霍金与美国物理学家姆罗迪诺(Mlodinow)联合撰写的书籍。在书中,霍金否认了宇宙是上帝创造的自我言论.给人以深思.(This is a great books. This is England with the physicist Stephen Hawking s American physicists Mlodinow LuoDiNuo (written) combined with books. In the book, hawking denied that the universe is god created self remarks. Give a person with thinking. )
如题:5种格式图书阅读器(PDF阅读器+TXT图书(Such as the title: 5 Book reader format (PDF+ TXT book reader)
ICCV09_Action Detection in Complex Scenes with Spatial and Temporal Ambiguities
MEMS惯性器件的标定和校准,然后由于组合导航系统中。(CALIBRATION OF A LOW COST MEMS INS SENSOR FOR AN INTEGRATED NAVIGATION SYSTEM)
这个是Tupin教授在09年APSAR会议上做的近来相关高分辨率SAR图像处理的总结PPT,值得推荐。(This is a Professor in 2009 APSAR Tupin do on the recent meeting of high-resolution SAR image processing related to a summary of PPT, is recommended.)
IEC61000-4-7-2009 国际的最新谐波和间谐波的标准(IEC61000-4-7-2009 and the latest international standards for harmonics and inter harmonics)
说明: 本文对opnet的使用进行了说明,希望对大家的学习有用(This paper describes the use opnet, we hope to learn useful)
说明: 这个里面详细讲解了关于克里金插值的内容。学习克里金插值必备(Which explain in detail the Kriging interpolation on the content. Essential learning Kriging)
说明: 张文彤SPSS统计课件-博士专用 包括pdf文件 sav 文件(Zhang Wentong SPSS statistical courseware- including pdf files, Dr special sav file)
说明: 一篇多分量信号的最优的时频表示的分析研究,比较具有综述性质(multiple signal optimal time frequency represents)
全套的云模型的教程,一共有12章,很全面的学习云模型的教材,这里是第一部分。(Complete tutorial cloud model, a total of 12 chapters, very comprehensive cloud model of learning materials, this is the first part.)
这是大牛人奥本海姆写的经典教材"数字信号处理"的书后习题答案(中文)。(This is the largest cattle Oppenheim wrote the classic textbook " Digital Signal Processing," the book exercises answers (in Chinese).)
Essential Skills for Agile Development - Agile Development, in particular, eXtreme Programming (XP), has been gaining a lot of momentum because it can effectively address the problems plaguing software development such as mis-understanding customers requirements, missing deadlines, over-budget, conflicts between customers and developers and poor maintainability of legacy systems.
Solving NP-hard discrete optimization problems to optimality is often an immense job requiring very ecient algorithms, and the B&B paradigm is one of the main tools in construction of these. A B&B algorithm searches the complete space of solutions for a given problem for the best solution. However, explicit enumeration is normally impossible due to the exponentially increasing number of potential solutions. The use of bounds for the function to be optimized combined with the value of the current best solution enables the algorithm to search parts of the solution space only implicitly.