CNN-based automatic modulation recognition for index modulation systems
Automatic modulation recognition (AMR) has garnered significant attention in both civilian
and military domains, with applications ranging from spectrum sensing and cognitive radio …
and military domains, with applications ranging from spectrum sensing and cognitive radio …
Automatic modulation classification based on CNN-transformer graph neural network
D Wang, M Lin, X Zhang, Y Huang, Y Zhu - Sensors, 2023 - mdpi.com
In recent years, neural network algorithms have demonstrated tremendous potential for
modulation classification. Deep learning methods typically take raw signals or convert …
modulation classification. Deep learning methods typically take raw signals or convert …
An Interpretable Explanation Approach for Signal Modulation Classification
Signal modulation classification (SMC) has attracted extensive attention for its wide
application in the military and civil fields. The current direction of combining deep-learning …
application in the military and civil fields. The current direction of combining deep-learning …
Effects of diagram plane on neural network based modulation recognition
Modulation recognition using deep learning presents challenges in effectively distinguishing
high-order modulation schemes while maintaining a balance between complexity and …
high-order modulation schemes while maintaining a balance between complexity and …
MCLHN: Towards Automatic Modulation Classification via Masked Contrastive Learning with Hard Negatives
C Xiao, S Yang, Z Feng, L Jiao - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Recently, contrastive learning (CL) has exhibited considerable advantages for automatic
modulation classification (AMC) with a scarcity of labeled samples. Nevertheless, the …
modulation classification (AMC) with a scarcity of labeled samples. Nevertheless, the …
A Complex-Valued Transformer for Automatic Modulation Recognition
W Li, W Deng, K Wang, L You… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is a widely used technique in various
communication systems. In this work, we propose a complex-valued transformer (CV-TRN) …
communication systems. In this work, we propose a complex-valued transformer (CV-TRN) …
[HTML][HTML] Tackling Few-Shot Challenges in Automatic Modulation Recognition: A Multi-Level Comparative Relation Network Combining Class Reconstruction Strategy
Z Ma, S Fang, Y Fan, S Hou, Z Xu - Sensors, 2024 - mdpi.com
Automatic Modulation Recognition (AMR) is a key technology in the field of cognitive
communication, playing a core role in many applications, especially in wireless security …
communication, playing a core role in many applications, especially in wireless security …
[HTML][HTML] Automatic modulation recognition using deep CVCNN-LSTM architecture
R Cheng, Q Chen, M Huang - Alexandria Engineering Journal, 2024 - Elsevier
Automatic modulation recognition (AMR) stands as a pivotal operation within industrial
cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) …
cognitive radio systems. State-of-the-art real-valued convolutional neural networks (CNNs) …
TransSea: Hybrid CNN-Transformer with Semantic Awareness for 3D Brain Tumor Segmentation
Accurate segmentation of brain tumors in multimodal MRI plays a crucial role in clinical
quantitative assessments, diagnostic processes, and the planning of therapeutic strategies …
quantitative assessments, diagnostic processes, and the planning of therapeutic strategies …
Deep Learning-Based Multi-Feature Fusion for Communication and Radar Signal Sensing
T Li, T Liu, Z Song, L Zhang, Y Ma - Electronics, 2024 - mdpi.com
Recent years witness the rapid development of communication and radar technologies, and
many transmitters are equipped with both communication and radar functionalities. To keep …
many transmitters are equipped with both communication and radar functionalities. To keep …