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eess.SP updates on arXiv.org

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
A Low-Power 20-Gb/s Discrete-Time Analog Front-End for AD...
Mostafa Ayesh, Sameh Ibrahim, Mohamed M. Aboudina · 2019-02-01 · via eess.SP updates on arXiv.org

This paper presents a discrete-time analog frontend for an analog-to-digital (ADC) based equalizers. The frontend uses a discrete-time linear equalizer (DTLE) and ultralow-power 4-bit time-interleaved charge-steering flash ADC. The DTLE serves two functions; linear equalization and sampling and holding for the following charge-steering ADC. The ADC uses fully differential low-power clocked comparators. Low power in the comparators is achieved by embedding a dynamic latch into the core of a charge-steering pre-amplifier. The 20-Gb/s front-end is designed and simulated in 65-nm CMOS technology. The flash ADC uses 4-stage interleaving and thus requires 4 DTLEs running at 5 Gb/s. A 5-Gb/s DTLE consumes 0.57 mW from a 1.2-V supply and the ADC consumes 15.5 mW from a 1-V supply at 20 GS/s for a total power dissipation of 17.78 mW or 0.89 pJ/bit. The ADC has an SNDR of 23.9 dB, an SFDR of 33.6 dB, and an effective number of bits (ENOB) of 3.67 bits for a sinusoidal input of frequency 9.84 GHz and amplitude 600 mVdiff .