Saved in:
| Main Authors: | Sapireddy, Srinivas Rahul, Rahman, Mostafizur |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.19956 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Novel Statistical Analysis Method for Radiation Source Classification
by: Geng, Haobo, et al.
Published: (2025)
by: Geng, Haobo, et al.
Published: (2025)
Cross-Band Modulation Design for Hybrid RF-Optical Systems
by: Oikonomou, Thrassos K., et al.
Published: (2025)
by: Oikonomou, Thrassos K., et al.
Published: (2025)
ResEMGNet: A Lightweight Residual Deep Learning Architecture for Neuromuscular Disorder Detection from Raw EMG Signals
by: Rahman, Minhajur, et al.
Published: (2023)
by: Rahman, Minhajur, et al.
Published: (2023)
Enhanced Breakdown and RF Performance in Field-Plated AlGaN/GaN HEMT for High-Power Applications
by: Rahman, Tanjim, et al.
Published: (2025)
by: Rahman, Tanjim, et al.
Published: (2025)
EMG Signal Classification for Neuromuscular Disorders with Attention-Enhanced CNN
by: Rahman, Md. Toufiqur, et al.
Published: (2023)
by: Rahman, Md. Toufiqur, et al.
Published: (2023)
Quartered Chirp Spectral Envelope for Whispered vs Normal Speech Classification
by: Joysingh, S. Johanan, et al.
Published: (2024)
by: Joysingh, S. Johanan, et al.
Published: (2024)
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)
by: Ghogho, Mounir
Published: (2024)
Passive Microwave Tag Classification Using RF Fingerprinting and Machine Learning
by: Hilton, Cory, et al.
Published: (2025)
by: Hilton, Cory, et al.
Published: (2025)
DECAF: Dynamic Envelope Context-Aware Fusion for Speech-Envelope Reconstruction from EEG
by: Thakkar, Karan, et al.
Published: (2026)
by: Thakkar, Karan, et al.
Published: (2026)
4D Fresnel Space-Time Modulation for Near-Field ELAA: Kinematic Multiplexing and O(N log N) Precoding at Sub-THz Frequencies
by: Gulia, Rahul
Published: (2026)
by: Gulia, Rahul
Published: (2026)
Comparative Analysis of Attention Mechanisms for Automatic Modulation Classification in Radio Frequency Signals
by: Catak, Ferhat Ozgur, et al.
Published: (2025)
by: Catak, Ferhat Ozgur, et al.
Published: (2025)
Statistical Model of Time-varying Backscatter Power of Monostatic RF Sensing Channels in Urban Canyons
by: Chizhik, Dmitry, et al.
Published: (2026)
by: Chizhik, Dmitry, et al.
Published: (2026)
Seeing Radio: From Zero RF Priors to Explainable Modulation Recognition with Vision Language Models
by: Zou, Hang, et al.
Published: (2026)
by: Zou, Hang, et al.
Published: (2026)
Achieving Constant-Envelope Waveform in CP-OFDMA Framework
by: Zhu, Yiming, et al.
Published: (2025)
by: Zhu, Yiming, et al.
Published: (2025)
Joint Detection and Classification of Communication and Radar Signals in Congested RF Environments Using YOLOv8
by: Kang, Xiwen, et al.
Published: (2024)
by: Kang, Xiwen, et al.
Published: (2024)
Incremental Learning-Based Open-Set Classification of Unknown UAVs via RF Signal Semantics
by: Liu, Julie, et al.
Published: (2026)
by: Liu, Julie, et al.
Published: (2026)
Applied AI-Enhanced RF Interference Rejection
by: Jain, Rahul, et al.
Published: (2026)
by: Jain, Rahul, et al.
Published: (2026)
Learning Perceptually Relevant Temporal Envelope Morphing
by: Dixit, Satvik, et al.
Published: (2025)
by: Dixit, Satvik, et al.
Published: (2025)
DL-AMC: Deep Learning for Automatic Modulation Classification
by: Rehman, Faheem Ur, et al.
Published: (2025)
by: Rehman, Faheem Ur, et al.
Published: (2025)
Deep-Learning-Based Classification of Digitally Modulated Signals
by: Snoap, John A.
Published: (2025)
by: Snoap, John A.
Published: (2025)
Automatic Modulation Classification via Green Machine Learning
by: Yu, Chee-An, et al.
Published: (2026)
by: Yu, Chee-An, et al.
Published: (2026)
Automatic Modulation Classification using a Waveform Signature
by: Clark IV, William H., et al.
Published: (2024)
by: Clark IV, William H., et al.
Published: (2024)
Regression Based Anomaly Detection in Electric Vehicle State of Charge Fluctuations Through Analysis of EVCI Data
by: Babu, Mitikiri Sagar, et al.
Published: (2024)
by: Babu, Mitikiri Sagar, et al.
Published: (2024)
Building Envelope Inversion by Data-driven Interpretation of Ground Penetrating Radar
by: Alam, Ahmed Nirjhar, et al.
Published: (2026)
by: Alam, Ahmed Nirjhar, et al.
Published: (2026)
Sum Rate Maximization in the Constant Envelope MIMO Downlink with the RZF Precoder
by: Askerbeyli, Ferhad, et al.
Published: (2024)
by: Askerbeyli, Ferhad, et al.
Published: (2024)
Real-time Digital RF Emulation -- I: The Direct Path Computational Model
by: DeLude, Coleman, et al.
Published: (2024)
by: DeLude, Coleman, et al.
Published: (2024)
Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
by: Rahman, Sowad
Published: (2025)
by: Rahman, Sowad
Published: (2025)
Unveiling Wireless Users' Locations via Modulation Classification-based Passive Attack
by: Hanif, Ali, et al.
Published: (2025)
by: Hanif, Ali, et al.
Published: (2025)
Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist
by: Xu, Ning, et al.
Published: (2025)
by: Xu, Ning, et al.
Published: (2025)
G-AMC: A Green Automatic Modulation Classification Method
by: Yu, Chee-An, et al.
Published: (2026)
by: Yu, Chee-An, et al.
Published: (2026)
Transfer Learning Guided Noise Reduction for Automatic Modulation Classification
by: Ji, Zelin, et al.
Published: (2024)
by: Ji, Zelin, et al.
Published: (2024)
Constant-Envelope ISAC via FM-OFDM: Analytical Framework and Receiver Design
by: Bouziane, Amir, et al.
Published: (2025)
by: Bouziane, Amir, et al.
Published: (2025)
Splitting Receiver with Joint Envelope and Coherent Detection
by: Wang, Yanyan, et al.
Published: (2022)
by: Wang, Yanyan, et al.
Published: (2022)
An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification
by: Yang, Huian, et al.
Published: (2025)
by: Yang, Huian, et al.
Published: (2025)
MATLAB-Simulated Dataset for Automatic Modulation Classification in Wireless Fading Channels
by: Shafi, M. M. Sadman, et al.
Published: (2025)
by: Shafi, M. M. Sadman, et al.
Published: (2025)
Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification
by: Dong, Peihao, et al.
Published: (2025)
by: Dong, Peihao, et al.
Published: (2025)
Federated Learning with Dual Attention for Robust Modulation Classification under Attacks
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
RF-Analyzer: Can Vision-Language Models Learn RF Understanding from Synthetic Data?
by: Bara, Anis, et al.
Published: (2026)
by: Bara, Anis, et al.
Published: (2026)
Envelope Control Enabled Probabilistic Shaping for Peak Power Constrained IM DD Systems
by: Zou, Dongdong, et al.
Published: (2025)
by: Zou, Dongdong, et al.
Published: (2025)
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
by: Hoang, Thao, et al.
Published: (2024)
by: Hoang, Thao, et al.
Published: (2024)
Similar Items
-
A Novel Statistical Analysis Method for Radiation Source Classification
by: Geng, Haobo, et al.
Published: (2025) -
Cross-Band Modulation Design for Hybrid RF-Optical Systems
by: Oikonomou, Thrassos K., et al.
Published: (2025) -
ResEMGNet: A Lightweight Residual Deep Learning Architecture for Neuromuscular Disorder Detection from Raw EMG Signals
by: Rahman, Minhajur, et al.
Published: (2023) -
Enhanced Breakdown and RF Performance in Field-Plated AlGaN/GaN HEMT for High-Power Applications
by: Rahman, Tanjim, et al.
Published: (2025) -
EMG Signal Classification for Neuromuscular Disorders with Attention-Enhanced CNN
by: Rahman, Md. Toufiqur, et al.
Published: (2023)