Image de couverture de livre

Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gomes, Geraldo, Freire, Pedro, Prilepsky, Jaroslaw E., Turitsyn, Sergei K.
Format:	Preprint
Publié:	2024
Sujets:	Signal Processing Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FPGA Implementation of Complex Value-based Clustering Filter for Chromatic Dispersion Compensation in Coherent Metro Links with Ultra-low Power Consumption
par: Gomes, Geraldo, et autres
Publié: (2024)

FPGA Implementation of Low-Power Multiplierless Pre-Processing Free Chromatic Dispersion Equalizer
par: Gomes, Geraldo, et autres
Publié: (2024)

Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
par: Freire, Pedro, et autres
Publié: (2024)

Computational Complexity Evaluation of Neural Network Applications in Signal Processing
par: Freire, Pedro, et autres
Publié: (2022)

FPGA-Based Experimental Analysis of Fixed-Point Precision Impact on SOP Estimation in Coherent Communications Receivers
par: Gomes, Geraldo, et autres
Publié: (2026)

Experimental Demonstration of Online Learning-Based Concept Drift Adaptation for Failure Detection in Optical Networks
par: Ali, Yousuf Moiz, et autres
Publié: (2026)

Efficient and Robust Semantic Image Communication via Stable Cascade
par: Khalid, Bilal, et autres
Publié: (2025)

Pre-, In-, and Post-Processing Class Imbalance Mitigation Techniques for Failure Detection in Optical Networks
par: Ali, Yousuf Moiz, et autres
Publié: (2025)

Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
par: Duque, Alice, et autres
Publié: (2024)

Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks
par: Khalid, Bilal, et autres
Publié: (2026)

Fermat Number Transform Based Chromatic Dispersion Compensation and Adaptive Equalization Algorithm
par: Chen, Siyu, et autres
Publié: (2024)

Fuzzy Clustering for Low-Complexity Time Domain Chromatic Dispersion Compensation Scheme in Coherent Optical Fiber Communication Systems
par: Wan, Wenkai, et autres
Publié: (2025)

Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems
par: Zhang, Wenwen, et autres
Publié: (2024)

QuantX: A Framework for Hardware-Aware Quantization of Generative AI Workloads
par: Ahmad, Muhammad, et autres
Publié: (2025)

Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws
par: Moaveninejad, Sadaf, et autres
Publié: (2022)

Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics
par: Pereira, Roberto, et autres
Publié: (2024)

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis
par: Ali, Yousuf Moiz, et autres
Publié: (2025)

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization
par: Masrur, Saad, et autres
Publié: (2025)

Dual Path Learning -- learning from noise and context for medical image denoising
par: Fartiyal, Jitindra, et autres
Publié: (2025)

KN-LIO: Geometric Kinematics and Neural Field Coupled LiDAR-Inertial Odometry
par: Wang, Zhong, et autres
Publié: (2025)

Augmenting Channel Simulator and Semi- Supervised Learning for Efficient Indoor Positioning
par: Li, Yupeng, et autres
Publié: (2024)

MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
par: Djuhera, Aladin, et autres
Publié: (2026)

Diffusion-Based Generative Priors for Efficient Beam Alignment in Directional Networks
par: Othman, Esraa Fahmy, et autres
Publié: (2026)

TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion
par: Duan, Huanqiang, et autres
Publié: (2025)

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
par: Ghaderi, Hamid, et autres
Publié: (2023)

Efficient Verification of a RADAR SoC Using Formal and Simulation-Based Methods
par: Kumar, Aman, et autres
Publié: (2024)

Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks
par: Shang, Chen, et autres
Publié: (2025)

Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA
par: Bhattacharya, Sagnik, et autres
Publié: (2024)

Bridging 6G IoT and AI: LLM-Based Efficient Approach for Physical Layer's Optimization Tasks
par: Mehmood, Ahsan, et autres
Publié: (2026)

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference
par: Qi, Jiawen, et autres
Publié: (2025)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
par: Nakano, Hiroshi, et autres
Publié: (2025)

Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB
par: Masrur, Saad, et autres
Publié: (2024)

Diffusion Models for Wireless Transceivers: From Pilot-Efficient Channel Estimation to AI-Native 6G Receivers
par: Yang, Yuzhi, et autres
Publié: (2025)

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions
par: Lee, Yongbin, et autres
Publié: (2026)

E2CAR: An Efficient 2D-CNN Framework for Real-Time EEG Artifact Removal on Edge Devices
par: Liu, Haoliang, et autres
Publié: (2026)

Equitable Federated Learning with Activation Clustering
par: Upadhyay, Antesh, et autres
Publié: (2024)

Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis
par: Cui, Bo, et autres
Publié: (2026)

SleepLiteCNN: Energy-Efficient Sleep Apnea Subtype Classification with 1-Second Resolution Using Single-Lead ECG
par: Mohammadi, Zahra, et autres
Publié: (2025)

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel
par: Bhattacharya, Sagnik, et autres
Publié: (2024)

Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study
par: Xu, Chunlei, et autres
Publié: (2024)