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ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation Federated Learning with Hypergradient-based Online Update of Aggregation Weights Soft Graph Diffusion Transformer for MIMO Detection SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting Sequential Inference for Gaussian Processes: A Signal Processing Perspective Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation Adaptive Transform Coding for Semantic Compression EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures Sparse Graph Learning from Sparse Data via Fiedler Number Maximization A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals EVT-Based Generative AI for Tail-Aware Channel Estimation Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring Speech Enhancement Based on Drifting Models Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications Learning Coverage- and Power-Optimal Transmitter Placement from Building Maps: A Comparative Study of Direct and Indirect Neural Approaches Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems Low-Rank Adaptation Redux for Large Models Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction Robust Cross-Domain WiFi Fall Detection via Physics-Driven Attention-Enhanced Transformers FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels How Well Can We Decode Vowels from Auditory EEG -- A Rigorous Cross-Subject Benchmark with Honest Assessment FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning SAGE: Training-Free Semantic Evidence Composition for Edge-Cloud Inference under Hard Uplink Budgets A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G What Physics do Data-Driven MoCap-to-Radar Models Learn? 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A collection of the data coding means and event coding means multiplexed over the 1000BASE-T1, 10GBASE-T, 10GBASE-KR, MultiGBASE-T1, 25G/40GBASE-T, 2.5G/5GBASE-T, 100GBASE-R, 10G/25G-EPON, and 10GPASS-XR microframes
Alexander Ivanov · 2023-02-27 · via eess.SP updates on arXiv.org

This collection bundles the following memos dedicated to Ethernet protocols featuring a very long binary transport word (microframe): [1] "Data Coding Means and Event Coding Means Multiplexed Over the 1000BASE-T1 PCS Payload" (extends the IEEE 802.3bp protocol, present at pp. 1-4 in the bundle); [2] "Data Coding Means and Event Coding Means Multiplexed Over the 10GBASE-T PCS Payload" (IEEE 802.3an, pp. 5-8); [3] "Data Coding Means and Event Coding Means Multiplexed Over the 10GBASE-KR PCS Payload" (IEEE 802.3ap, pp. 9-12); [4] "Data Coding Means and Event Coding Means Multiplexed Over the MultiGBASE-T1 PCS Payload" (IEEE 802.3ch, pp. 13-16); [5] "Data Coding Means and Event Coding Means Multiplexed Over the 25G/40GBASE-T FEC Input" (IEEE 802.3bq, pp. 17-20); [6] "Data Coding Means and Event Coding Means Multiplexed Over the 2.5G/5GBASE-T FEC Input" (IEEE 802.3bz, pp. 21-24); [7] "Data Coding Means and Event Coding Means Multiplexed Over the 100GBASE-R FEC Inputs" (IEEE 802.3bj, pp. 25-28); [8] "Data Coding Means and Event Coding Means Multiplexed Over the 10G/25G-EPON FEC Inputs" (IEEE 802.3av/ca, pp. 29-32); and [9] "Data Coding Means and Event Coding Means Multiplexed Over the 10GPASS-XR FEC Inputs" (IEEE 802.3bn, pp. 33-36).

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