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A01=Axel Jantsch
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Taking AIMS at Digital Design: Analysis, Improvement, Modeling, and Synthesis

English

By (author): Axel Jantsch

This is an introductory textbook for courses in Synchronous Digital Design that enables students to develop useful intuitions for all of the key concepts of digital design. The author focuses this tutorial on the design flow, which is introduced as an iterative cycle of Analysis, Improvement, Modeling, and Synthesis. All the basic elements of digital design are covered, starting with the CMOS transistor to provide an abstraction upon which everything else is built. The other main foundational concepts introduced are clocked synchronous register-transfer level design, datapath, finite state machines and communication between clock domains. 

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Current price €64.59
Original price €67.99
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A01=Axel JantschAge Group_UncategorizedAuthor_Axel Jantschautomatic-updateCategory1=Non-FictionCategory=TJFCCategory=UKMCategory=UYFCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Activesoftlaunch

Will deliver when available. Publication date 24 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Oct 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031356070

About Axel Jantsch

Axel Jantsch received the Dipl.Ing. and Ph.D. degrees in computer science from TU Wien Vienna Austria in 1987 and 1992 respectively. From 1997 to 2002 he was an Associate Professor with the KTH Royal Institute of Technology Stockholm. From 2002 to 2014 he was a Full Professor of electronic systems design at the KTH. Since 2014 he has been a Professor of systems on chips with the Institute of Computer Technology TU Wien. He has published five books as an editor and one as the author and over 300 peer-reviewed contributions in journals books and conference proceedings. He has given over 100 invited presentations at conferences universities and companies. His current research interests include systems on chips self-aware cyber-physical systems and embedded machine learning.

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