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Deep neural network goes lighter: A case study of deep compression
  techniques on automatic RF modulation recognition for Beyond 5G networks

Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks

9 April 2022
Anu Jagannath
Jithin Jagannath
Yanzhi Wang
Tommaso Melodia
ArXivPDFHTML

Papers citing "Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks"

3 / 3 papers shown
Title
Survey of Graph Neural Network for Internet of Things and NextG Networks
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy
Jithin Jagannath
32
2
0
27 May 2024
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting:
  Traditional Approaches, Deep Learning, and Open Challenges
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges
Anu Jagannath
Jithin Jagannath
P. Kumar
23
131
0
03 Jan 2022
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
671
0
24 Jan 2021
1