Convolutional neural network based blind automatic modulation classification robust to phase and frequency offsets-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Convolutional neural network based blind automatic modulation classification robust to phase and frequency offsets

Published:2020-11-13 Issue:20 Volume:14 Page:3578-3584
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Jin Heetae¹,Jeong Sinjin¹,Park Dong Chan²^ORCID,Kim Suk Chan³

Affiliation:

1. Department of Electrical and Computer EngineeringPusan National UniversityBusanRepublic of Korea

2. Division of Convergence TechnologyResearch Institute and Hospital, National Cancer CenterGoyangRepublic of Korea

3. Department of Electronics EngineeringPusan National UniversityBusanRepublic of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2019.0980

Reference25 articles.

1. Ship Classification in SAR Images Using a New Hybrid CNN–MLP Classifier

2. Change detection in SAR images using deep belief network: a new training approach based on morphological images

3. A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images

4. A Two-Phase Algorithm Based on Kurtosis Curvelet Energy and Unsupervised Spectral Regression for Segmentation of SAR Images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probability density function based data augmentation for deep neural network automatic modulation classification with limited training data;IET Communications;2023-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3