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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Algorithm-Architecture Matching for Signal and Image Processing: Best Papers from Design and Architectures for Signal and Image Processing 2007 & 2008

Algorithm-Architecture Matching for Signal and Image Processing: Best Papers from Design and Architectures for Signal and Image Processing 2007 & 2008

Gogniat, Guy
Milojevic, Dragomir
Morawiec, Adam

Paperback

Series: Lecture Notes in Electrical Engineering, Book 73

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 9400733925
ISBN13: 9789400733923
Publisher: Springer Nature
Published: Dec 1 2012
Pages: 296
Weight: 0.96
Height: 0.65 Width: 6.14 Depth: 9.21
Language: English

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.

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