一种新的无线传感器网络仿生编码方案

H. Yaich, M. Masmoudi
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引用次数: 0

摘要

本文提出了一种受视网膜启发的用于无线传感器网络(WSN)的新型图像编码器/解码器。实际上,压缩问题对于节能问题,特别是嵌入式系统的节能问题是非常重要的。我们相信,为了实现创新和成功的系统,图像编码器/解码器的概念(设计)背后的理念有必要进行改变。这项工作的主要假设是,视网膜为视觉刺激产生一种压缩的神经编码。我们的压缩方案结合了视网膜的压缩神经代码和数据压缩技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel bio-inspired coding scheme for wireless sensor networks
This article presents a new coders / decoders of images inspired by the retina for wireless sensors networks (WSN). Indeed, the problem of the compression is important for questions of energy saving, in particular for embedded system. We are convinced that a change is necessary in the philosophy which underlies the conception (design) of the coders / decoders of images to end in innovative and successful systems. The main hypothesis in this work is that the retina generates for the visual stimuli a compressed neural code. Our compression scheme is a combination of a compressed neural code of the retina and data compression techniques.
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