一种新的基于深度残差收缩网络的调制自动分类自学习滤波器

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
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引用次数: 0

摘要

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A Novel Self-Learning Filters for Automatic Modulation Classification Based on Deep Residual Shrinking Networks
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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
183
审稿时长
8 months
期刊介绍: The KSII Transactions on Internet and Information Systems (TIIS) is online scholarly journal indexed in SCIE (Thomson Reuters) and SCOPUS (Elsevier) and published by KSII and supported by KETI. The Transactions is published every other month. The Transactions is designed to allow readers to obtain the most state of the art in a number of focusing areas related to wired & wireless internet and information systems. The technologies and applications of IT are very rapidly changing and updating. Thus quick publication and distribution to researchers, developers, deployment engineers, technical managers, and educators are crucial. Our most important aim is to publish the accepted papers quickly after receiving the manuscript.
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