Multi–dimensional wireless signal identification based on support vector machines

K Tekbiyik, Ö Akbunar, AR Ekti, A Görçin… - IEEE Access, 2019 - ieeexplore.ieee.org
Radio air interface identification provides necessary information for dynamically and
efficiently exploiting the wireless radio frequency spectrum. In this study, a general machine …

Design of a SIMO deep learning-based chaos shift keying (DLCSK) communication system

M Mobini, G Kaddoum, M Herceg - Sensors, 2022 - mdpi.com
This paper brings forward a Deep Learning (DL)-based Chaos Shift Keying (DLCSK)
demodulation scheme to promote the capabilities of existing chaos-based wireless …

Supervised Contrastive Learning‐Based Modulation Classification of Underwater Acoustic Communication

D Gao, W Hua, W Su, Z Xu… - … and Mobile Computing, 2022 - Wiley Online Library
Modulation parameters are very significant to underwater target recognition. But influenced
by the severe and time‐space varying channel, most currently proposed intelligent …

Wireless Technology Identification Employing Dynamic Mode Decomposition Modeling

A Elsebaay, HH Refai - IEEE Access, 2023 - ieeexplore.ieee.org
Significant growth in broadband wireless services, as well as ever-increasing demand on
the spectrum caused by the Internet of Things (IoT) have overstretched limited available …

Frequency Hop** Signal Detection in Low Signal-to-Noise Ratio Regimes

MZ Hasan, DJ Couto, MA Abdel-Malek… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
The detection of unauthorized frequency hop** (FH) signals has several applications in
securing the radio frequency spectrum and achieving spectrum awareness in both tactical …

Wireless technology Identification employing dynamic mode decomposition spectrum

A Elsebaay, HH Refai - 2023 International Telecommunications …, 2023 - ieeexplore.ieee.org
Broadband wireless services have experienced significant growth, resulting in an ever-
increasing demand for the limited spectrum space available for wireless services. As a …

[ЦИТИРОВАНИЕ][C] Exploring the potential of dynamic mode decomposition in wireless communication and neuroscience applications

A Elsebaay - 2023