Cover Image

Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Granstedt, Jason L., Zhou, Weimin, Anastasio, Mark A.
Format:	Preprint
Published:	2020
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Machine Learning-Based Analysis of ECG and PCG Signals for Rheumatic Heart Disease Detection: A Scoping Review (2015-2025)
by: Olatunji, Damilare Emmanuel, et al.
Published: (2025)

Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
by: Momen-Tayefeh, Mehrdad, et al.
Published: (2026)

End-to-End Autoencoder for Drill String Acoustic Communications
by: Lezhenin, Iurii, et al.
Published: (2024)

Learning Time-Varying Graph Signals via Koopman
by: Krishnan, Sivaram, et al.
Published: (2025)

Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022)