Results 11 to 20 of about 3,104,277 (280)

Automatic Radar Modulation Classification [PDF]

, 2018
Automatic modulation classification is concerned with identifying the modulation present on a radio wave. This can be any type of radar or communication signal.
Fahlman, David
openaire   +2 more sources

Automatic Modulation Classification Based on Machine Learning [PDF]

, 2022
Automatic Modulation Classification (AMC) is a rapidly evolving technology, which can be employed in software defined radio structures, such as for military communication.
Sun, Y., Ball, E.
openaire   +3 more sources

Deep Hierarchical Network for Automatic Modulation Classification [PDF]

IEEE Access, 2019
In non-cooperative communication scenarios, automatic modulation classification (AMC) is the premise of information acquisition. It has been a difficult issue for decades due to the attenuation and interference during wireless transmission. In this paper,
Jinbo Nie, Yan Zhang, Zunwen He, Shiyao Chen, Shouliang Gong, Wancheng Zhang   +5 more
doaj   +2 more sources

Wireless Signal Representation Techniques for Automatic Modulation Classification

IEEE Access, 2022
In this paper, we present a comprehensive survey and detailed comparison of techniques that have been applied to the problem of identifying the type of modulation contained within received wireless signals.
Xueyuan Liu, Carol Jingyi Li, Craig T. Jin, Philip H. W. Leong   +3 more
doaj   +3 more sources

A Hybrid Neural Network for Fast Automatic Modulation Classification [PDF]

IEEE Access, 2020
Automatic modulation classification (AMC) plays a key role in cognitive radio. For AMC, convolutional neural networks (CNNs) have been explored in previous works extensively and deliver the best performance.
Rendeng Lin, Wenjuan Ren, Xian Sun, Zhanpeng Yang, Kun Fu   +4 more
doaj   +2 more sources

Depth Analysis in Deep Learning-Based Automatic Modulation Classification [PDF]

Havacılık ve Uzay Teknolojileri Dergisi
Automatic Modulation Classification (AMC) is the process of determining the modulation type of a signal received by a communication system. Deep learning, a machine learning technique, has recently garnered significant attention due to its outstanding ...
Osman Kaya, Tansal Güçlüoğlu, Hacı İlhan   +2 more
doaj   +1 more source

Scalogram Aided Automatic Modulation Classification

, 2022
Automatic modulation classification has applications in non-cooperative communications and cognitive radio. Recent studies have demonstrated that deep learning algorithms can achieve remarkable accuracies for image classification.
Gajjar, Viraj, Nambisan, Anand, Kosbar, Kurt   +2 more
core   +4 more sources

AUTOMATIC MODULATION CLASSIFICATION USING DEEP LEARNING POLAR FEATURE

Journal of Engineering and Sustainable Development, 2023
The automatic modulation classification of signals is of great importance in modern communications, especially on cognitive radio. Several methods have been used in this field, the most important of which is the classification of modulation ...
Ali H. Shah, Abbas H. Miry, Tariq M. Salman   +2 more
doaj   +1 more source

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning [PDF]

, 2014
Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies.
Plumbley, Mark D., Stowell, D, Plumbley, MD, Dan Stowell, Mark D. Plumbley, Stowell, Dan; id_orcid, Stowell, Dan   +6 more
core   +2 more sources

Convolutional Neural Networks for Automatic Modulation Classification

, 2022
Automatic Modulation Classification (AMC) is the process of determining the modulation type of the signal which is taken by receiver in a communication system.
Güçlüoğlu, Tansal, Kaya, Osman
core   +1 more source