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Pejman Ghasemzadeh
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2020 – today
- 2023
- [j4]Pejman Ghasemzadeh
, Michael Hempel
GGCNN: An Efficiency-Maximizing Gated Graph Convolutional Neural Network Architecture for Automatic Modulation Identification. IEEE Trans. Wirel. Commun. 22(9): 6033-6047 (2023) - 2022
- [j3]Pejman Ghasemzadeh
GS-QRNN: A High-Efficiency Automatic Modulation Classifier for Cognitive Radio IoT. IEEE Internet Things J. 9(12): 9467-9477 (2022) - [c10]Pejman Ghasemzadeh, Michael Hempel, Hamid Sharif, Tarek Omar:
An OFDM-Based Transceiver Analysis for Railroad Applications. IWCMC 2022: 748-753 - [c9]Pejman Ghasemzadeh, Michael Hempel, Hamid Sharif:
A Robust Graph Convolutional Neural Network-Based Classifier for Automatic Modulation Recognition. IWCMC 2022: 907-912 - [d1]Pejman Ghasemzadeh
MIMOSigRef-SD. IEEE DataPort, 2022 - 2021
- [j2]Pejman Ghasemzadeh
A Spatial-Diversity MIMO Dataset for RF Signal Processing Research. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c8]Pejman Ghasemzadeh, Michael Hempel, Hamid Sharif:
A Novel High-Accuracy Low-Execution Time Machine Learning- Driven Approach to Automatic Modulation Classification. CCNC 2021: 1-6 - 2020
- [j1]Pejman Ghasemzadeh
A Novel Deep Learning and Polar Transformation Framework for an Adaptive Automatic Modulation Classification. IEEE Trans. Veh. Technol. 69(11): 13243-13258 (2020) - [c7]Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Hamid Sharif:
A New Framework for Automatic Modulation Classification using Deep Belief Networks. ICC Workshops 2020: 1-6 - [c6]Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Andrew Harms, Hamid Sharif:
Detecting Dark Cars in Railroad Operations using Multi-Antenna Beamforming for Long-Distance Discovery and Identification of AEI Tags. IWCMC 2020: 1561-1566
2010 – 2019
- 2019
- [c5]Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Hamid Sharif:
Accuracy Analysis of Feature-based Automatic Modulation Classification with Blind Modulation Detection. ICNC 2019: 1000-1004 - [c4]Subharthi Banerjee, Michael Hempel, Pejman Ghasemzadeh, Hamid Sharif:
A Novel Biomimicry-based Analysis of D2D User Association Retention for Achieving Maximal Throughput. IWCMC 2019: 2036-2042 - [c3]Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Moe Alahmad, Hamid Sharif:
Analysis of Distribution Test-based and Feature-based Approaches toward Automatic Modulation Classification. PIMRC 2019: 1-6 - [c2]Subharthi Banerjee, Michael Hempel, Pejman Ghasemzadeh, Yi Qian, Hamid Sharif:
A Novel Approach to Social-Behavioral D2D Trust Associations Using Self-Propelled Voronoi. VTC Fall 2019: 1-5 - 2018
- [c1]Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Hamid Sharif:
Performance Evaluation of Feature-based Automatic Modulation Classification. ICSPCS 2018: 1-5
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