Editors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 73)
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Table of contents (13 chapters)
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Front Matter
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Data acquisition and embedded systems
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Front Matter
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Embedded systems design
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Front Matter
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Back Matter
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, includingsignal, 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.
Editors and Affiliations
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Lab-STICC-CNRS, UMR 3192, Universite de Bretagne Sud - UEB, Lorient Cedex, France
Guy Gogniat
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CP 165-56, Université libre de Bruxelles, Bruxelles, Belgium
Dragomir Milojevic
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ECSI, Gières, France
Adam Morawiec
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School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom
Ahmet Erdogan
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
DOI: https://doi.org/10.1007/978-90-481-9965-5
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2011
Hardcover ISBN: 978-90-481-9964-8Published: 28 October 2010
Softcover ISBN: 978-94-007-3392-3Published: 01 December 2012
eBook ISBN: 978-90-481-9965-5Published: 20 October 2010
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 296
Topics: Signal, Image and Speech Processing, Processor Architectures, Algorithms