A novel deep learning and polar transformation framework for an adaptive automatic modulation classification
P Ghasemzadeh, S Banerjee… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is an approach to identify an observed signal's
most likely modulation scheme without any a priori knowledge of the intercepted signal. In …
most likely modulation scheme without any a priori knowledge of the intercepted signal. In …
A spatial-diversity MIMO dataset for RF signal processing research
P Ghasemzadeh, M Hempel… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The procedure of classifying a detected signal's modulation scheme with no a priori
information is known as automatic modulation classification (AMC). AMC has presented …
information is known as automatic modulation classification (AMC). AMC has presented …
A novel graph neural network-based framework for automatic modulation classification in mobile environments
P Ghasemzadeh - 2023 - search.proquest.com
Automatic modulation classification (AMC) refers to a signal processing procedure through
which the modulation type and order of an observed signal are identified without any prior …
which the modulation type and order of an observed signal are identified without any prior …
Detecting dark cars in railroad operations using multi-antenna beamforming for long-distance discovery and identification of aei tags
One recurring problem that the North American railroad industry faces is the tracking of lost
railroad cars. Railroad cars are often parked on track sidings of train stations or train depot …
railroad cars. Railroad cars are often parked on track sidings of train stations or train depot …
A novel high-accuracy low-execution time machine learning-driven approach to automatic modulation classification
P Ghasemzadeh, M Hempel… - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
The process of automatic modulation classification (AMC) has gained importance in recent
years. AMC enables receivers to classify an intercepted signal's modulation scheme without …
years. AMC enables receivers to classify an intercepted signal's modulation scheme without …
Deep learning and polar transformation to achieve a novel adaptive automatic modulation classification framework
P Ghasemzadeh - 2020 - digitalcommons.unl.edu
Automatic modulation classification (AMC) is an approach that can be leveraged to identify
an observed signal's most likely employed modulation scheme without any a priori …
an observed signal's most likely employed modulation scheme without any a priori …