Copertina

End-to-End Deep Learning in Phase Noisy Coherent Optical Link

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Alnaseri, Omar, Himeur, Yassine
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep Learning Autoencoders for Reducing PAPR in Coherent Optical Systems
di: Alnaseri, Omar, et al.
Pubblicazione: (2024)

QCommE2E: An Open-Source Simulation of End-to-End Quantum Communication Systems
di: Alnaseri, Omar
Pubblicazione: (2026)

A Review on Deep Learning Autoencoder in the Design of Next-Generation Communication Systems
di: Alnaseri, Omar, et al.
Pubblicazione: (2024)

A Review on Quantum Satellite Communications: Challenges and Future Directions
di: Alnaseri, Omar, et al.
Pubblicazione: (2026)

Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
di: Kheddar, Hamza, et al.
Pubblicazione: (2024)

What is Wrong with End-to-End Learning for Phase Retrieval?
di: Zhang, Wenjie, et al.
Pubblicazione: (2024)

Bayesian Deep End-to-End Learning for MIMO-OFDM System with Delay-Domain Sparse Precoder
di: Jha, Nilesh Kumar, et al.
Pubblicazione: (2025)

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding
di: Nguyen, Nhan Duc Thanh, et al.
Pubblicazione: (2024)

End-to-End Optimization of Directly Modulated Laser Links using Chirp-Aware Modeling
di: F., Sergio Hernandez, et al.
Pubblicazione: (2024)

End-to-End Learning for SLP-Based ISAC Systems
di: Zheng, Yixian, et al.
Pubblicazione: (2024)

Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
di: Mateos-Ramos, José Miguel, et al.
Pubblicazione: (2023)

Deep Riemannian Networks for End-to-End EEG Decoding
di: Wilson, Daniel, et al.
Pubblicazione: (2022)

End-to-End Deep Learning for TDD MIMO Systems in the 6G Upper Midbands
di: Park, Juseong, et al.
Pubblicazione: (2024)

Superimposed-Pilot OTFS Under Fractional Doppler: Modular End-to-End Learning
di: Lei, Yushi, et al.
Pubblicazione: (2026)

End-to-End Learning of Pulse-Shaper and Receiver Filter in the Presence of Strong Intersymbol Interference
di: Nielsen, Søren Føns, et al.
Pubblicazione: (2024)

Graph Neural Network-based End-to-End Learning for Multi-User MIMO Systems
di: Chang, Hao, et al.
Pubblicazione: (2024)

Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain
di: Wang, Hanqi, et al.
Pubblicazione: (2024)

Stacked Intelligent Metasurface for End-to-End OFDM System
di: Zhang, Yida, et al.
Pubblicazione: (2025)

End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems
di: Nielsen, Søren Føns, et al.
Pubblicazione: (2024)

Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments
di: Mateos-Ramos, José Miguel, et al.
Pubblicazione: (2023)

End-to-end Optimization of Optical Communication Systems based on Directly Modulated Lasers
di: F., Sergio Hernandez, et al.
Pubblicazione: (2024)

Baseband-Free End-to-End Communication System Based on Diffractive Deep Neural Network
di: Teng, Xiaokun, et al.
Pubblicazione: (2025)

Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission
di: Letafati, Mehdi, et al.
Pubblicazione: (2024)

A 0.08 pJ/bit 56 GBaud Monolithic Optical Receiver Front End for IMDD Photonic Links
di: Pesch, Robert P., et al.
Pubblicazione: (2026)

FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time
di: Jobayer, Md, et al.
Pubblicazione: (2024)

End-to-End Waveform and Beamforming Optimization for RF Wireless Power Transfer
di: Khattak, Abdul Basit, et al.
Pubblicazione: (2024)

Deep Learning for High Speed Optical Coherence Elastography with a Fiber Scanning Endoscope
di: Neidhardt, Maximilian, et al.
Pubblicazione: (2025)

End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling
di: Chimmalgi, Shrinivas, et al.
Pubblicazione: (2025)

End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills
di: Subedi, Aseem, et al.
Pubblicazione: (2025)

ESC-MVQ: End-to-End Semantic Communication With Multi-Codebook Vector Quantization
di: Shin, Junyong, et al.
Pubblicazione: (2025)

End-to-End Hardware Modeling and Sensitivity Optimization of Photoacoustic Signal Readout Chains
di: Yang, Weiran, et al.
Pubblicazione: (2025)

Unsupervised End-to-End Array Calibration for Multi-Target Integrated Sensing and Communication
di: Mateos-Ramos, José Miguel, et al.
Pubblicazione: (2026)

Integrated Sensing and Communication for Edge Inference with End-to-End Multi-View Fusion
di: Jin, Xibin, et al.
Pubblicazione: (2024)

Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation
di: Rastorgueva-Foi, Elizaveta, et al.
Pubblicazione: (2023)

SIM-Assisted End-to-End Co-Frequency Co-Time Full-Duplex System
di: Zhang, Yida, et al.
Pubblicazione: (2025)

Pilot-Based End-to-End Radio Positioning and Mapping for ISAC: Beyond Point-Based Landmarks
di: Ge, Yu, et al.
Pubblicazione: (2025)

From Design to Validation: Preparing a LEO-Capable UE for End-to-End System Evaluation
di: Giuliani, Amedeo, et al.
Pubblicazione: (2026)

Experimental Demonstration of End-to-End Optimization for Directly Modulated Laser-based IM/DD Systems
di: Hernandez, Sergio, et al.
Pubblicazione: (2024)

Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
di: Hammami, Cheima, et al.
Pubblicazione: (2024)

Deep Learning Models for Conditioning Extremely Noisy Signals
di: Quezada, Andrea Faúndez, et al.
Pubblicazione: (2024)