Nessus.Network.Auditing.Second.Edition
2021-11-10 02:59:37 10.44MB Nessus.Network.Auditing.Second.Edition
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信号处理 第二版 英文原版 Nasser Kehtarnavaz
2021-11-06 14:43:38 22.42MB 信号处理 第二版 英文原版
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含有数字语音处理的各种常见现象和应该注意的问题
2021-11-06 12:01:13 20.42MB DAFX audio effects
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[GUN.Linux.编程指南.(第二版)].Linux.Programming.Unleashed.Second.Edition.[美].Kurt.Wall.源代码.zip
2021-11-04 00:13:18 1.44MB linux
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I will first introduce the necessary concepts and tools of verification, then I'll describe a process for planning and carrying out an effective functional verification of a design. I will also introduce the concept of coverage models that can be used in a coveragedriven verification process. It will be necessary to cover some VHDL and Verilog language semantics that are often overlooked or oversimplified in textbooks intent on describing the synthesizeable subset. These unfamiliar semantics become important in understanding what makes a wellimplemented and robust testbench and in providing the necessary control and monitor features. Once these new semantics are understood in a familiar language, the same semantics are presented in new verification-oriented languages. I will also present techniques for applying stimulus and monitoring the response of a design, by abstracting the physical-level transac-tions into high-level procedures using bus-functional models. The architecture of testbenches built around these bus-functional models is important to create a layer of abstraction relevant to the function being verified and to minimize development and maintenance effort. I also show some strategies for making testbenches selfchecking. Creating random testbenches involves more than calling the random() function in whatever language is used to implement them. I will show how random stimulus generators, built on top of busfunctional models, can be architected and designed to be able to produce the desired stimulus patterns. Random generators must be easily externally constrained to increase the likelihood that a set of interesting patterns will be generated. Behavioral modeling is another important concept presented in this book. It is used to parallelize the implementation and verification of a design and to perform more efficient simulations. For many, behavioral modeling is synonymous with synthesizeable or RTL modeling. In this book, the term "behavioral" is used to
2021-11-03 14:34:32 35.19MB HDL Testbench
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这是 computational geometry in c 的第二版,计算几何对于学计算机图形学的人来说是非常重要的一门课,enjoy!
2021-11-02 15:48:38 25.5MB geometry computer graphics
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一本有关离散数学的书,还讨论了数学推理和逻辑。
2021-10-29 16:10:35 6.42MB 计算机科学
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Designing Embedded Hardware steers a course between those books dedicated to writing code for particular microprocessors, and those that stress the philosophy of embedded system design without providing any practical information. Loaded with real examples, this book also provides a roadmap to the pitfalls and traps to avoid. If you want to build your own embedded system, or tweak an existing one, this invaluable book gives you the understanding and practical skills you need.
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Artificial Intelligence for Games, Second Edition
2021-10-19 10:14:04 4.09MB Artificial Intelligence Game
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This is a book for people interested in solving optimization problems. Because of the wide (and growing) use of optimization in science, engineering, economics, and industry, it is essential for students and practitioners alike to develop an understanding of optimization algorithms. Knowledge of the capabilities and limitations of these algorithms leads to a better understanding of their impact on various applications, and points the way to future research on improving and extending optimization algorithms and software. Our goal in this book is to give a comprehensive description of the most powerful, state-of-the-art, techniques for solving continuous optimization problems. By presenting the motivating ideas for each algorithm, we try to stimulate the reader’s intuition and make the technical details easier to follow. Formal mathematical requirements are kept to a minimum.
2021-10-16 20:47:04 4.2MB Wright Numerical Optimization
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