| 期刊全称 | Algorithm-Architecture Matching for Signal and Image Processing | | 期刊简称 | Best papers from Des | | 影响因子2023 | Guy Gogniat,Dragomir Milojevic,Ahmet Erdogan | | 视频video | | | 发行地址 | 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 | | 学科分类 | Lecture Notes in Electrical Engineering | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 18:06:41
