:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Quezada, Andrea Faúndez, Cavera III, Salvatore La, Abayzeed, Sidahmed A
Format:	Preprint
Published:	2024
Subjects:	Signal Processing
Online Access:	https://arxiv.org/abs/2402.14713
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model-Driven Dataset Generation for Data-Driven Battery SOH Models
by: Alamin, Khaled Sidahmed Sidahmed, et al.
Published: (2024)

End-to-End Deep Learning in Phase Noisy Coherent Optical Link
by: Alnaseri, Omar, et al.
Published: (2025)

Robust Zero-crossings Detection in Noisy Signals using Topological Signal Processing
by: Tanweer, Sunia, et al.
Published: (2023)

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

Deep Tensor Learning for Reliable Channel Charting from Incomplete and Noisy Measurements
by: Chen, Ge, et al.
Published: (2025)

On the Accuracy of Phase Extraction from a Known-Frequency Noisy Sinusoidal Signal
by: Dervieux, Emmanuel, et al.
Published: (2024)

On the Ability of Deep Learning to Detect Signals with Unknown Parameters
by: Anders, Tom, et al.
Published: (2025)

On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
by: Sripathmanathan, Baskaran, et al.
Published: (2025)

GSP = DSP + Boundary Conditions -- The Graph Signal Processing Companion Model
by: Shi, John, et al.
Published: (2023)

Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models
by: Sadek, Zayneb, et al.
Published: (2024)

Instantaneous Frequency Estimation in Noisy Multicomponent Signals with Interfering Modes Based on Prony Method and Spline Approximation
by: Dubois-Bonnaire, Basile, et al.
Published: (2026)

Automatic Radar Signal Detection and FFT Estimation using Deep Learning
by: Pemasiri, Akila, et al.
Published: (2024)

Fiber Signal Denoising Algorithm using Hybrid Deep Learning Networks
by: Wang, Linlin, et al.
Published: (2025)

A Deep Learning based Signal Dimension Estimator with Single Snapshot Signal in Phased Array Radar Application
by: Ma, Yugang, et al.
Published: (2025)

Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory
by: Kallehauge, Tobias, et al.
Published: (2024)

Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment
by: Zhao, Yangyang, et al.
Published: (2025)

Comparison between Supervised and Unsupervised Learning in Deep Unfolded Sparse Signal Recovery
by: Nagahisa, Koshi, et al.
Published: (2025)

Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio
by: Abbott, Leigh, et al.
Published: (2024)

Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
by: Ibrahim, Shahana, et al.
Published: (2024)

Microphone Array Signal Processing and Deep Learning for Speech Enhancement
by: Haeb-Umbach, Reinhold, et al.
Published: (2025)

Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
by: Xu, Kaidi, et al.
Published: (2025)

Extremely Large Antenna Spacing Method for Enhanced Wideband Near-Field Sensing
by: Bacchielli, Tommaso, et al.
Published: (2026)

On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation
by: Sripathmanathan, Baskaran, et al.
Published: (2024)

Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)

Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices
by: Farsi, Mohammad, et al.
Published: (2024)

Standard Condition Number-Based Robust Signal Detection with Whitening under Uncertainty
by: Udupitiya, Tharindu, et al.
Published: (2024)

Quantum Support Vector Machine-Based Classification of GPS Signal Reception Conditions
by: Jeong, Suhui, et al.
Published: (2024)

Deep Learning Framework for Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems
by: Morsali, Alireza, et al.
Published: (2021)

Deep Learning-Enabled Signal Detection for MIMO-OTFS-Based 6G and Future Wireless Networks
by: Akpinar, Emin, et al.
Published: (2026)

Blind Source Separation of Radar Signals in Time Domain Using Deep Learning
by: Hinderer, Sven
Published: (2025)

What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions
by: Meng, Hanyu, et al.
Published: (2024)

Aliasing Reduction in Neural Amp Modeling by Smoothing Activations
by: Sato, Ryota, et al.
Published: (2025)

On the analysis of saturated pressure to detect fatigue
by: Faundez-Zanuy, Marcos, et al.
Published: (2024)

Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures
by: Blancard, Bruno Régaldo-Saint, et al.
Published: (2023)

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
by: Gao, Shen, et al.
Published: (2024)

Joint Signal Detection and Automatic Modulation Classification via Deep Learning
by: Xing, Huijun, et al.
Published: (2024)

Distributed Signal Processing for Extremely Large-Scale Antenna Array Systems: State-of-the-Art and Future Directions
by: Xu, Yanqing, et al.
Published: (2024)

ResEMGNet: A Lightweight Residual Deep Learning Architecture for Neuromuscular Disorder Detection from Raw EMG Signals
by: Rahman, Minhajur, et al.
Published: (2023)

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
by: Yan, Runze, et al.
Published: (2024)

Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals
by: Ranjan, Shivani, et al.
Published: (2024)