© 2011

Algorithm-Architecture Matching for Signal and Image Processing

Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009

  • Guy Gogniat
  • Dragomir Milojevic
  • Adam Morawiec
  • Ahmet Erdogan
  • Provides last optimization techniques for implementing signal and image processing Highlights advanced techniques for dynamic and partial reconfigurable systems Introduces next generation CAD tools for signal and image processing

  • Present emerging RTOS and scheduling techniques for embedded systems


Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 73)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Architectures for embedded application

    1. Front Matter
      Pages 1-1
    2. Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez
      Pages 3-26
    3. Tomasz Toczek, Stéphane Mancini
      Pages 27-51
    4. Daniela Genius, Etienne Faure, Nicolas Pouillon
      Pages 53-77
  3. Data acquisition and embedded systems

    1. Front Matter
      Pages 79-79
    2. Daniel R. Kelly, Braden J. Phillips, Said Al-Sarawi
      Pages 95-116
    3. Jérémie Crenne, Pierre Bomel, Guy Gogniat, Jean-Philippe Diguet
      Pages 171-194
  4. Embedded systems design

    1. Front Matter
      Pages 195-195
    2. Benoît Miramond, Emmanuel Huck, Thomas Lefebvre, François Verdier
      Pages 197-215
    3. Jani Boutellier, Christophe Lucarz, Victor Martin Gomez, Marco Mattavelli, Olli Silvén
      Pages 237-251
    4. Sebastien Le Beux, Laurent Moss, Philippe Marquet, Jean-Luc Dekeyser
      Pages 253-274
    5. Richard Thavot, Romuald Mosqueron, Julien Dubois, Marco Mattavelli
      Pages 275-292
  5. Back Matter
    Pages 293-296

About this book


Advances in signal and image processing together with increasing computing power are bringing mobile technology closer to applications in a variety of domains like automotive, health, telecommunication, multimedia, entertainment and many others. The development of these leading applications, involving a large diversity of algorithms (e.g. signal, image, video, 3D, communication, cryptography) is classically divided into three consecutive steps: a theoretical study of the algorithms, a study of the target architecture, and finally the implementation. Such a linear design flow is reaching its limits due to intense pressure on design cycle and strict performance constraints. The approach, called Algorithm-Architecture Matching, aims to leverage design flows with a simultaneous study of both algorithmic and architectural issues, taking into account multiple design constraints, as well as algorithm and architecture optimizations, that couldn’t be achieved otherwise if considered separately. Introducing new design methodologies is mandatory when facing the new emerging applications as for example advanced mobile communication or graphics using sub-micron manufacturing technologies or 3D-Integrated Circuits. This diversity forms a driving force for the future evolutions of embedded system designs methodologies.

The main expectations from system designers’ point of view are related to methods, tools and architectures supporting application complexity and design cycle reduction. Advanced optimizations are essential to meet design constraints and to enable a wide acceptance of these new technologies.

Algorithm-Architecture Matching for Signal and Image Processing presents a collection of selected contributions from both industry and academia, addressing different aspects of Algorithm-Architecture Matching approach ranging from sensors to architectures design. The scope of this book reflects the diversity of potential algorithms, including signal, communication, image, video, 3D-Graphics implemented onto various architectures from FPGA to multiprocessor systems. Several synthesis and resource management techniques leveraging design optimizations are also described and applied to numerous algorithms.

Algorithm-Architecture Matching for Signal and Image Processing should be on each designer’s and EDA tool developer’s shelf, as well as on those with an interest in digital system design optimizations dealing with advanced algorithms.


Algorithm Architecture Design Methodologies Hardware/Software Co-Design Image Processing Matching Signal Processing

Editors and affiliations

  • Guy Gogniat
    • 1
  • Dragomir Milojevic
    • 2
  • Adam Morawiec
    • 3
  • Ahmet Erdogan
    • 4
  1. 1.Lab-STICC-CNRS, UMR 3192Universite de Bretagne Sud - UEBLorient CedexFrance
  2. 2.CP 165-56Université libre de BruxellesBruxellesBelgium
  3. 3.ECSIGièresFrance
  4. 4.School of EngineeringThe University of EdinburghEdinburghUnited Kingdom

Bibliographic information

  • Book Title Algorithm-Architecture Matching for Signal and Image Processing
  • Book Subtitle Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009
  • Editors Guy Gogniat
    Dragomir Milojevic
    Adam Morawiec
    Ahmet Erdogan
  • Series Title Lecture Notes in Electrical Engineering
  • Series Abbreviated Title Lect.Notes Electrical Eng.
  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2011
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-90-481-9964-8
  • Softcover ISBN 978-94-007-3392-3
  • eBook ISBN 978-90-481-9965-5
  • Series ISSN 1876-1100
  • Series E-ISSN 1876-1119
  • Edition Number 1
  • Number of Pages XII, 296
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Signal, Image and Speech Processing
    Processor Architectures
  • Buy this book on publisher's site
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