DRAC: a delta recurrent neural network-based arithmetic coding algorithm for edge computing

This paper develops an arithmetic coding algorithm based on delta recurrent neural network for edge computing devices called DRAC. Our algorithm is implemented on a Xilinx Zynq 7000 Soc board. We evaluate DRAC with four datasets and compare it with the state-of-the-art compressor DeepZip. The experi...

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Bibliographic Details
Published in:	Complex & intelligent systems Vol. 8; no. 5; pp. 3675 - 3681
Main Authors:	Shan, Bowei, Fang, Yong
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.10.2022 Springer Nature B.V
Subjects:	Algorithms Arithmetic coding Complexity Computational Intelligence Computer networks Data compression Data Structures and Information Theory Datasets Edge computing Engineering Intelligent systems Internet of Things Neural networks Original Article Power consumption Recurrent neural networks Arithmetic coding Delta recurrent neural network Edge computing
ISSN:	2199-4536, 2198-6053
Online Access:	Get full text
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