A review of research on signal modulation recognition based on deep learning
W **ao, Z Luo, Q Hu - Electronics, 2022 - mdpi.com
Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …
data throughput, so the joint development of artificial intelligence technology and wireless …
Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique
We present an automatic signal modulation classification model using combinatorial deep
learning technique. Our proposed deep learning model increase accuracy for low Signal-to …
learning technique. Our proposed deep learning model increase accuracy for low Signal-to …
[HTML][HTML] Implementation of direct demodulator based on ANN using FPGA
This paper presents the design and implementation of a direct amplitude (AM) demodulator
using artificial neural network (ANN) on field programmable gate array (FPGA), which …
using artificial neural network (ANN) on field programmable gate array (FPGA), which …
Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing
Z El-Khatib, S Moussa - Springer
Automatic signal modulation recognition in AI-based wireless communication can be done
using combinatorial deep learning neural network techniques to improve resource shortage …
using combinatorial deep learning neural network techniques to improve resource shortage …
Combinatorial neural network signal modulation recognition algorithm based on attention mechanism
Y Zhang, M Lu, Y Wang - 2023 4th International Seminar on …, 2023 - ieeexplore.ieee.org
Aiming at the problems of low recognition rate and confused signal classification of deep
learning modulation recognition network, combined neural network of one-dimensional …
learning modulation recognition network, combined neural network of one-dimensional …