| 期刊全稱 | Algorithm-Architecture Matching for Signal and Image Processing | | 期刊簡稱 | Best papers from Des | | 影響因子2023 | Guy Gogniat,Dragomir Milojevic,Ahmet Erdogan | | 視頻video | http://file.papertrans.cn/153/152843/152843.mp4 | | 發(fā)行地址 | Provides last optimization techniques for implementing signal and image processing Highlights advanced techniques for dynamic and partial reconfigurable systems Introduces next generation CAD tools fo | | 學(xué)科分類 | Lecture Notes in Electrical Engineering | | 圖書封面 |  | | 影響因子 | .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 | | Pindex | Book 2011 |
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