Cover Image

Revisiting R: Statistical Envelope Analysis for Lightweight RF Modulation Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sapireddy, Srinivas Rahul, Rahman, Mostafizur
Format:	Preprint
Published:	2025
Subjects:	Signal Processing
Online Access:	Acceder al recurso
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)

Cross-Band Modulation Design for Hybrid RF-Optical Systems
by: Oikonomou, Thrassos K., et al.
Published: (2025)

Enhanced Breakdown and RF Performance in Field-Plated AlGaN/GaN HEMT for High-Power Applications
by: Rahman, Tanjim, 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)

EMG Signal Classification for Neuromuscular Disorders with Attention-Enhanced CNN
by: Rahman, Md. Toufiqur, et al.
Published: (2023)

Passive Microwave Tag Classification Using RF Fingerprinting and Machine Learning
by: Hilton, Cory, et al.
Published: (2025)

Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)

Comparative Analysis of Attention Mechanisms for Automatic Modulation Classification in Radio Frequency Signals
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)

Quartered Chirp Spectral Envelope for Whispered vs Normal Speech Classification
by: Joysingh, S. Johanan, et al.
Published: (2024)

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)

DECAF: Dynamic Envelope Context-Aware Fusion for Speech-Envelope Reconstruction from EEG
by: Thakkar, Karan, 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)

Joint Detection and Classification of Communication and Radar Signals in Congested RF Environments Using YOLOv8
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)

Achieving Constant-Envelope Waveform in CP-OFDMA Framework
by: Zhu, Yiming, et al.
Published: (2025)

DL-AMC: Deep Learning for Automatic Modulation Classification
by: Rehman, Faheem Ur, et al.
Published: (2025)

Deep-Learning-Based Classification of Digitally Modulated Signals
by: Snoap, John A.
Published: (2025)

Automatic Modulation Classification via Green Machine Learning
by: Yu, Chee-An, et al.
Published: (2026)

Automatic Modulation Classification using a Waveform Signature
by: Clark IV, William H., et al.
Published: (2024)

G-AMC: A Green Automatic Modulation Classification Method
by: Yu, Chee-An, et al.
Published: (2026)

Transfer Learning Guided Noise Reduction for Automatic Modulation Classification
by: Ji, Zelin, et al.
Published: (2024)

Building Envelope Inversion by Data-driven Interpretation of Ground Penetrating Radar
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)

Real-time Digital RF Emulation -- I: The Direct Path Computational Model
by: DeLude, Coleman, et al.
Published: (2024)

Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist
by: Xu, Ning, et al.
Published: (2025)

Regression Based Anomaly Detection in Electric Vehicle State of Charge Fluctuations Through Analysis of EVCI Data
by: Babu, Mitikiri Sagar, et al.
Published: (2024)

Constant-Envelope ISAC via FM-OFDM: Analytical Framework and Receiver Design
by: Bouziane, Amir, et al.
Published: (2025)

An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification
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)

Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification
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)

RF-Analyzer: Can Vision-Language Models Learn RF Understanding from Synthetic Data?
by: Bara, Anis, et al.
Published: (2026)

Learning Perceptually Relevant Temporal Envelope Morphing
by: Dixit, Satvik, et al.
Published: (2025)

Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
by: Rahman, Sowad
Published: (2025)

Efficient 2.5-D FEM-Based Scattering Analysis of the Human Body for RF Sensing
by: Wen, Haoqing, et al.
Published: (2026)

Envelope Control Enabled Probabilistic Shaping for Peak Power Constrained IM DD Systems
by: Zou, Dongdong, et al.
Published: (2025)

A Light Weight Neural Network for Automatic Modulation Classification in OFDM Systems
by: Nanayakkara, Indiwara, et al.
Published: (2025)

Deep Domain-Adversarial Adaptation for Automatic Modulation Classification under Channel Variability
by: Shahriar, K. A.
Published: (2025)

MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length
by: Zhang, Yezhuo, et al.
Published: (2024)