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Can I read Algorithm - architecture matching for signal and image processing : best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009 on EtoBox?
Algorithm - architecture matching for signal and image processing : best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009 by Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez (auth.), Guy Gogniat, Dragomir Milojevic, Adam Morawiec, Ahmet Erdogan (eds.) is a nonfiction available to read on EtoBox.
What is Algorithm - architecture matching for signal and image processing : best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009 about?
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-
Who reads Algorithm - architecture matching for signal and image processing : best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez (auth.), Guy Gogniat, Dragomir Milojevic, Adam Morawiec, Ahmet Erdogan (eds.)
- Publisher
- Springer Netherlands
- Published
- 2011
- Language
- EN
- ISBN
- 9789400733923
- Category
- nonfiction
- Subjects
- Computer Science, Technology, Programming
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