Universal and complementary representation learning for automatic modulation recognition

Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification

(2023) Shilian Zheng et al.   IEEE Transactions on Cognitive Communications and Networking

Modulation Recognition of Communication Signals Based on Multimodal Feature Fusion

(2022) Xinliang Zhang et al.   SENSORS

Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression

(2022) Anu Jagannath et al.   Physical Communication

Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder

(2021) Ziqi Ke et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Multitask-Learning-Based Deep Neural Network for Automatic Modulation Classification

(2021) Shuo Chang et al.   IEEE Internet of Things Journal

Shared Spectrum Monitoring Using Deep Learning

(2021) Farrukh Aziz Bhatti et al.   IEEE Transactions on Cognitive Communications and Networking

A Novel Digital Modulation Recognition Algorithm Based on Deep Convolutional Neural Network

(2020) Kaiyuan Jiang et al.   Applied Sciences-Basel

Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information

(2020) Peihan Qi et al.   IEEE Transactions on Cognitive Communications and Networking

Spectrum Analysis and Convolutional Neural Network for Automatic Modulation Recognition

(2019) Yuan Zeng et al.   IEEE Wireless Communications Letters

Automatic Modulation Classification Using Convolutional Neural Network With Features Fusion of SPWVD and BJD

(2019) Zufan Zhang et al.   IEEE Transactions on Signal and Information Processing over Networks