Adaptive Techniques for Mixed Signal System on Chip

  • Ayman Fayed
  • Mohammed Ismail
Part of the The International Series in Engineering and Computer Science book series (SECS, volume 872)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Pages 1-9
  3. Pages 39-65
  4. Pages 121-140
  5. Back Matter
    Pages 173-178

About this book

Introduction

Adaptive Techniques for Mixed Signal Sytem on Chip discusses the concept of adaptation in the context of analog and mixed signal design along with different adaptive architectures used to control any system parameter. The first part of the book gives an overview of the different elements that are normally used in adaptive designs including tunable elements as well as voltage, current, and time references with an emphasis on the circuit design of specific blocks such as voltage-controlled transconductors, offset comparators, and a novel technique for accurate implementation of on chip resistors. While the first part of the book addresses adaptive techniques at the circuit and block levels, the second part discusses adaptive equalization architectures employed to minimize the impact of ISI (Intersymbol Interference) on the quality of received data in high-speed wire line transceivers. It presents the implementation of a 125Mbps transceiver operating over a variable length of Category 5 (CAT-5) Ethernet cable as an example of adaptive equalizers.

Keywords

Adaptive Architectures Analog,RF and mixed signal CMOS Equalization Ethernet High-Speed Transceivers Resistor Tuning SoC Symbol System on chip Transceiver Transconductors development integrated circuit system on chip (SoC)

Authors and affiliations

  • Ayman Fayed
    • 1
  • Mohammed Ismail
    • 2
  1. 1.Texas Instruments Inc.DallasUSA
  2. 2.Analog VLSI LabOhio State University ColumbusUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-32155-4
  • Copyright Information Springer 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-32154-7
  • Online ISBN 978-0-387-32155-4
  • Series Print ISSN 0893-3405
  • About this book