Deep learning for modulation classification: Signal features in performance analysis

A Ivanov, K Tonchev, V Poulkov… - 2020 Joint International …, 2020 - ieeexplore.ieee.org
An increasing trend towards making the modulation classification (MC) algorithms better-
suited for real world implementation in Cognitive Radio (CR) equipment, can be seen as …

Modulation recognition method of wireless communication digital signal considering multi-dimensional characteristics

Q Yu, Y Guo - International Conference on Network …, 2022 - spiedigitallibrary.org
Modulation recognition is a key technology in the field of communication, especially in the
field of non cooperative communication. It can realize the automatic recognition and …

Waveform Detection and Classification Using Machine Learning

EJDT Sanchez - 2022 - search.proquest.com
The wide availability of devices transmitting in the radio frequency spectrum, along with the
required openness of the spectrum, presents a security problem to civilian and military …

[PDF][PDF] AMC2N: Automatic Modulation Classification Using Feature Clustering‑Based Two‑Lane Capsule Networks. Electronics 2021, 10, 76

DH Al‑Nuaimi, MF Akbar, LB Salman, ISZ Abidin… - 2021 - researchgate.net
The automatic modulation classification (AMC) of a detected signal has gained consider‑
able prominence in recent years owing to its numerous facilities. Numerous studies have …

DAD: Deep Anomaly Detection for Intelligent Monitoring of Expressway Network

J Wang, M Wang, G Yin, Y Zhang - … October 8–10, 2020, Proceedings, Part …, 2020 - Springer
In order to improve the real-time efficiency of expressway operation monitoring and
management, the anomaly detection in intelligent monitoring network (IMN) of expressway …

Multi-Task Radio Frequency Signal Classification with Convolutional Neural Networks

C Cook - 2021 - search.proquest.com
Signal classification is an increasingly important area of research; as more devices
communicate using signals, efficient spectrum management and security are essential …

[PDF][PDF] Research Article System Design for Opportunistic Spectrum Access Using Statistical Decision-Making and Coded-MAC

E Rodriguez-Colina, R Marcelín-Jiménez… - 2020 - academia.edu
Different mechanisms have been proposed to solve opportunistic spectrum access (OSA). In
order to address spectrum management efficiently, these mechanisms can be divided into …

English Vocabulary Classification Based on Deep Learning

Y Meng - IOP Conference Series: Materials Science and …, 2020 - iopscience.iop.org
A large number of words in the English language are derived from Greek myths, which can
be roughly divided into seven categories: basic vocabulary, psychological vocabulary …