/ 2018-02-01
/ 电子工业出版社
本书通过大量实例由浅入深地介绍了数字电路和数字系统设计中的重要概念和知识要点。本书分两大部分。*部分重点关注数字电路设计层面,偏重基础。第2章到第6章为Verilog语法与数字电路设计相关知识,包括常用语法、基本数字电路单元等。第7章到第9章重点介绍高级数字设计知识,包括数字系统架构设计、复杂数字系统中常用的电路单元、算法,并给出了大量工程实例。第10章给出了一些重要的工程设计经验,包括文档管理、代码设计、系统验证、高可靠性设计等。第二部分重点关注数字系统设计层面。第11章到第13章介绍了常用数字系统关键电路,包括与处理器系统相关的存储结构与存储访问技术、存储介质(硬盘、闪存、DDR等)与驱动电路、处理器总线结构与协议等。第14章和第15章介绍了电路可测性设计、静态定时分析、芯片工程修改的相关知识。第16章和
¥86.10定价:¥109.00(7.9折)
Verilog高级数字系统设计技术与实例分析 电子工业出版社
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/ 2018-02-01
/ 电子工业出版社
¥68.10定价:¥109.00(6.25折)
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【预订】Creativity, Technology & Education: Exploring their Conv
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/ 2017-12-15
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/ 2018-02-01
/ 暂无出版社信息
Product Details 基本信息 ISBN-13 书号 9781119323594 Author 作者 Ajay Kumar Mishra Format 版本 精装 Pages Number 页数 588页 Publication Date 出版日期 2018-02-01 Language 语种 英语 Book Contents 内容简介 In this book, we have summarized recent progresses due to novel nanomaterials for sustainable water resources. Book provides a summary of the state of the art knowledge to scientists, engineers and policy makers, about recent developments due to nanotechnology for sustainable water resources arena. The advances in sustainable water resources technologies in the context of modern societys interests will be considered preferably which allow to identify grand challenges and directions for future research. The book contributors have been selected from all over the world and the essential functions of the nanotechnologies have presented rather than their anticipated applications. Moreover, up to date knowledge on economy, toxicity and regul
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/ 2019-01-28
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Product Details 基本信息 ISBN-13 书号 9781484242575 Author 作者 Pradeepta Mishra Format 版本 平装-胶订 Pages Number 页数 184页 Publisher 出版社 Apress Publication Date 出版日期 2019-01-28 Language 语种 英语 Book Contents 内容简介 Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you’ll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations and graph computations with PyTorch. Along the way you will take a look at common issues faced with neural network implementation and tensor differentiation, and get the best solutions for them. Moving on to algorithms; you will learn how PyTorch works wi
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/ 2013-01-25
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/ 2017-10-03
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