This file contains all possible questions that the exam 2 could contain (SSD2 consideration), as well as exercises that may require the practical examination, I hope they help, luck!
标签： consideration questions contains possible
上传时间： 2013-12-25
上传用户：himbly
We (the Klimas family) are relative Linux newbies (with Linux since Summer 1998). We run RedHat mostly -> the solutions might not be directly applicable to other Linux distributions (although most of them probably will). Hope this helps, we try to be as practical as possible. Of course, we provide no warranty whatsoever!
标签： Linux relative newbies Klimas
上传时间： 2017-09-06
上传用户：gdgzhym
GPU Gems is a cool toolbox of advanced graphics techniques. Novice programmers and graphics gurus alike will find the Gems practical, intriguing and useful.
标签： graphics programmers techniques advanced
上传时间： 2017-09-15
上传用户：xaijhqx
ARDUINO的原版全英文的学习资料，供大家学习使用。 [Practical.Arduino(第1版)] [交互式编程].(Programming.Interactivity).文字版
标签： 原版，资料，arduino
上传时间： 2015-03-05
上传用户：1241943028
ATMEL，教材，Practical AVR Microcontrollers - Alan Trevennor
标签： ATMEL;教材;
上传时间： 2015-03-30
上传用户：bluetang
HIGH SPeed serdes designs and connectors and simulation models simulations used in signal Integrity and also has practical evaluation aof all connectors
上传时间： 2015-04-09
上传用户：1234wei
Writing essays and dissertations can be a major concern for overseas students studying at English-medium colleges and universities. Virtually all courses contain a large degree of written assessment and it is essential to ensure that your writing skills meet the necessary standard. Academic Writing is a new kind of writing course for all international students who have to write exams or coursework in English. This practical book thoroughly explains the writing process and covers all the key writing skills.
标签： Academic writing
上传时间： 2015-11-13
上传用户：blackbat
it is electronics pspice lab manual. very helpful for beginners. its is in the form of a lab manual. hope the reader will like it very much
标签： orcad pspics electronics
上传时间： 2016-01-10
上传用户：whu_lk
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
This report presents a tutorial of fundamental array processing and beamforming theory relevant to microphone array speech processing. A microphone array consists of multiple microphones placed at different spatial locations. Built upon a knowledge of sound propagation principles, the multiple inputs can be manipulated to enhance or attenuate signals emanating from particular directions. In this way, microphone arrays provide a means of enhancing a desired signal in the presence of corrupting noise sources. Moreover, this enhancement is based purely on knowledge of the source location, and so microphone array techniques are applicable to a wide variety of noise types. Microphone arrays have great potential in practical applications of speech processing, due to their ability to provide both noise robustness and hands-free signal acquisition.
标签： Microphone array Tutorial Array Signal Processing
上传时间： 2016-06-12
上传用户：halias
