Machine learning based automatic modulation recognition for wireless communications: A comprehensive survey

B Jdid, K Hassan, I Dayoub, WH Lim, M Mokayef - IEEE Access, 2021 - ieeexplore.ieee.org
The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Intelligent radio signal processing: A survey

QV Pham, NT Nguyen, T Huynh-The, LB Le… - IEEE …, 2021 - ieeexplore.ieee.org
Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

Bhattacharyya distance based concept drift detection method for evolving data stream

I Baidari, N Honnikoll - Expert Systems with Applications, 2021 - Elsevier
The majority of online learners assume that the data distribution to be learned is established
in advance. There are many real-world problems where the distribution of the data changes …

A Complete Review on the Application of Statistical Methods for Evaluating Internet Traffic Usage

VC Cunha, AZ Zavala, D Magoni, PRM Inacio… - IEEE …, 2022 - ieeexplore.ieee.org
Internet traffic classification aims to identify the kind of Internet traffic. With the rise of traffic
encryption and multi-layer data encapsulation, some classic classification methods have lost …

Automatic extraction of green tide from GF-3 SAR images based on feature selection and deep learning

H Yu, C Wang, J Li, Y Sui - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
Efficient and accurate monitoring of green tide is of great significance to marine disaster
prevention and marine environment protection. A method is proposed in this article for the …

Efficient convolutional networks for robust automatic modulation classification in OFDM-based wireless systems

T Huynh-The, TV Nguyen, QV Pham… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Orthogonal frequency-division multiplexing (OFDM) is commonly deployed in Internet of
Things (IoT) systems to achieve high data rates with reasonable complexity, where …

Automatic modulation classification: Cauchy-Score-function-based cyclic correlation spectrum and FC-MLP under mixed noise and fading channels

S Luan, Y Gao, T Liu, J Li, Z Zhang - Digital Signal Processing, 2022 - Elsevier
Automatic modulation classification (AMC), also termed blind signal modulation recognition,
plays a critical role in various civilian and military applications. Although existing …

A Study of Dimensionality Reduction in GLCM Feature-Based Classification of Machined Surface Images

G Prasad, VS Gaddale, RC Kamath… - Arabian Journal for …, 2024 - Springer
The surfaces produced by the machining process are sensitive to the type of machining
process and the conditions under which it is performed. Thus, surface texture identification is …

Annual characteristic analysis of ionosphere reflection from middle-latitude HF over-the-horizon radar in the northern hemisphere

X Ji, J Li, Q Yang - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
The dynamically changing ionospheric conditions are the biggest impediment to realizing
the ideal performance in long range for over-the-horizon radar (OTHR). Most related studies …

Dual-determination of modulation types and signal-to-noise ratios using 2D-ASIQH features for next generation of wireless communication systems

TA Almohamad, MFM Salleh, MN Mahmud… - IEEE …, 2021 - ieeexplore.ieee.org
In order to pursue rapid development of the new generation of wireless communication
systems and elevate their security and efficiency, this paper proposes a novel scheme for …