Gogniat, Guy (Hrsg.)
Milojevic, Dragomir (Hrsg.)
Morawiec, Adam (Hrsg.)
Erdogan, Ahmet (Hrsg.)
Algorithm-Architecture Matching for Signal and Image Processing
Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009

Beschreibung
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.
Produktdetails
ISBN/GTIN | 978-90-481-9965-5 |
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Seitenzahl | 296 S. |
Kopierschutz | mit Wasserzeichen |
Dateigröße | 10086 Kbytes |