:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Granstedt, Jason L., Zhou, Weimin, Anastasio, Mark A.
Formato:	Preprint
Publicado:	2020
Materias:	Signal Processing Machine Learning
Acceso en línea:	https://arxiv.org/abs/2003.02321
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
por: Owfi, Ali, et al.
Publicado: (2025)

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
por: Occhipinti, Edoardo, et al.
Publicado: (2024)

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
por: Ju, Haocheng, et al.
Publicado: (2023)

Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks
por: Harvey, Christopher J., et al.
Publicado: (2024)

Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging
por: Lin, Youzuo, et al.
Publicado: (2024)

Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals
por: Iida, Momoka, et al.
Publicado: (2026)

A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography
por: Yang, Kaiyi, et al.
Publicado: (2026)

Biaxialformer: Leveraging Channel Independence and Inter-Channel Correlations in EEG Signal Decoding for Predicting Neurological Outcomes
por: Nesaragi, Naimahmed, et al.
Publicado: (2025)

PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
por: Sajid, Md Shahriar, et al.
Publicado: (2025)

Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias
por: Vazifeh, Amir Reza, et al.
Publicado: (2025)

Constructing efficient channels for ideal observers using the conjugate gradient method
por: Zhou, Weimin
Publicado: (2026)

Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
por: Koka, Taulant, et al.
Publicado: (2025)

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

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

Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoder
por: Xu, Weiming, et al.
Publicado: (2024)

Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage
por: Li, Xuyang, et al.
Publicado: (2024)

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation
por: Atienza, Adrian, et al.
Publicado: (2024)

Task- and Metric-Specific Signal Quality Indices for Medical Time Series
por: Haidamous, Jad, et al.
Publicado: (2026)

Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
por: Chandrasekar, Ramya, et al.
Publicado: (2024)

Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
por: Xiao, Qikai, et al.
Publicado: (2026)

Learning to Separate RF Signals Under Uncertainty: Detect-Then-Separate vs. Unified Joint Models
por: Rodrigez, Ariel, et al.
Publicado: (2026)

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
por: Mishra, Aditya, et al.
Publicado: (2025)

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders
por: Ren, Pengju, et al.
Publicado: (2025)

A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning
por: Guler, Berkay, et al.
Publicado: (2025)

Detection of Sleep Oxygen Desaturations from Electroencephalogram Signals
por: Manjunath, Shashank, et al.
Publicado: (2024)

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
por: Le, Thanh-Dung, et al.
Publicado: (2024)

Autoencoder for Position-Assisted Beam Prediction in mmWave ISAC Systems
por: El-Banna, Ahmad A. Aziz, et al.
Publicado: (2025)

Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection
por: Shahbazinia, Amirhossein, et al.
Publicado: (2025)

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
por: Xu, Xinjie, et al.
Publicado: (2022)

Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
por: Webster, Matthew B., et al.
Publicado: (2023)

Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System
por: Liu, Yu, et al.
Publicado: (2024)

A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment
por: Yuan, Shangqing, et al.
Publicado: (2025)

Synthetic Electrogram Generation with Variational Autoencoders for ECGI
por: Gutiérrez-Fernández, Miriam, et al.
Publicado: (2025)

Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
por: Li, Xiaoyan, et al.
Publicado: (2025)

Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection
por: Najafi, Seyed Amirhossein, et al.
Publicado: (2024)

Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
por: Kompella, Srihari Kamesh, et al.
Publicado: (2024)

Multi-task Learning for Radar Signal Characterisation
por: Huang, Zi, et al.
Publicado: (2023)

Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals
por: Islam, Md Zobaer, et al.
Publicado: (2023)

Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
por: Liu, Yu, et al.
Publicado: (2024)

Adapting Tensor Kernel Machines to Enable Efficient Transfer Learning for Seizure Detection
por: de Rooij, Seline J. S., et al.
Publicado: (2025)