Deep Architectures for Modulation Recognition

被引：0
|
作者：
机构：
来源：
2017 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (IEEE DYSPAN) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that radio modulation recognition is not limited by network depth and further work should focus on improving learned synchronization and equalization. Advances in these areas will likely come from novel architectures designed for these tasks or through novel training methods.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Deep Learning Based Digital Signal Modulation Recognition
    Fu, Junqiang
    Zhao, Chenglin
    Li, Bin
    Peng, Xiao
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2015, 322 : 955 - 964
  • [42] Modulation Recognition Using Hierarchical Deep Neural Networks
    Karra, Krishna
    Kuzdeba, Scott
    Petersen, Josh
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (IEEE DYSPAN), 2017,
  • [43] Modulation recognition of MPSK signals based on deep learning
    Liu, Mingqian
    Zheng, Shifei
    Li, Bingbing
    [J]. Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2019, 41 (05): : 153 - 158
  • [44] Deep Learning Modulation Recognition for RF Spectrum Monitoring
    Emad, A.
    Mohamed, H.
    Farid, A.
    Hassan, M.
    Sayed, R.
    Aboushady, H.
    Mostafa, H.
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2021,
  • [45] The Application of Deep Learning in Communication Signal Modulation Recognition
    Lin, Yun
    Tu, Ya
    Dou, Zheng
    Wu, Zhiqiang
    [J]. 2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 782 - 786
  • [46] A Deep Neural Network Method For Automatic Modulation Recognition In OFDM With Index Modulation
    Liu, Fang
    Zhou, Yu
    Liu, Yuanan
    [J]. 2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), 2019,
  • [47] Arabic Handwriting Recognition System Based on Genetic Algorithm and Deep CNN Architectures
    Miloud, Kamline
    Lakhdar, Abdelmounaim Moulay
    Ilyas, Bendjillali Ridha
    [J]. 2021 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATION (DASA), 2021,
  • [48] Gender and ethnicity recognition based on visual attention-driven deep architectures
    Khellat-Kihel, Souad
    Muhammad, Jawad
    Sun, Zhenan
    Tistarelli, Massimo
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2022, 88
  • [49] Multilingual Name Entity Recognition and Intent Classification employing Deep Learning architectures
    Rizou, S.
    Paflioti, A.
    Theofilatos, A.
    Vakali, A.
    Sarigiannidis, G.
    Chatzisavvas, K. Ch.
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2022, 120
  • [50] SIMPLIFYING VERY DEEP CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES FOR ROBUST SPEECH RECOGNITION
    Rownicka, Joanna
    Renals, Steve
    Bell, Peter
    [J]. 2017 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU), 2017, : 236 - 243
12345