Cover Image

Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Webster, Matthew B., Lee, Joonnyong
Format:	Preprint
Published:	2023
Subjects:	Signal Processing Machine Learning I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
by: Webster, Matthew B., et al.
Published: (2025)

Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing
by: Youngmin, Lee, et al.
Published: (2024)

Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
by: Lorenzen, Niels R., et al.
Published: (2025)

E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processing
by: Han, Yuntao, et al.
Published: (2024)

SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting
by: Feng, Tianning, et al.
Published: (2025)

Regime Learning for Differentiable Particle Filters
by: Brady, John-Joseph, et al.
Published: (2024)

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition
by: Wu, Qingyu, et al.
Published: (2026)

SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting
by: Zinflou, Arnaud
Published: (2026)

Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
by: Wang, Xudong, et al.
Published: (2025)

How Much Temporal Modeling is Enough? A Systematic Study of Hybrid CNN-RNN Architectures for Multi-Label ECG Classification
by: Jafari, Alireza, et al.
Published: (2026)

Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection
by: Soares, Jonathan A., et al.
Published: (2024)

On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems
by: Soares, Jonathan A., et al.
Published: (2024)

The Manifold Scattering Transform for High-Dimensional Point Cloud Data
by: Chew, Joyce, et al.
Published: (2022)

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
by: Johnson, David R., et al.
Published: (2025)

Functional Continuous Decomposition
by: Aghayev, Teymur
Published: (2026)

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
by: Junqueira, Bruna, et al.
Published: (2024)

Deep Learning based Modeling of Wireless Communication Channel with Fading
by: Youngmin, Lee, et al.
Published: (2023)

E-CONDOR: Efficient Contour-Based Detection Of Random Spatial Signals From UAV Observations Using Dual Stochastic Gradient
by: Zahra, Maryam, et al.
Published: (2024)

Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks
by: Farajpoor, Parastoo, et al.
Published: (2026)

Hypergraph Overlapping Community Detection for Brain Networks
by: Vu, Duc, et al.
Published: (2025)

Geometric Neural Network based on Phase Space for BCI-EEG decoding
by: Carrara, Igor, et al.
Published: (2024)

U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
by: Zhang, Yichen, et al.
Published: (2026)

MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval
by: Li, Xingyan, et al.
Published: (2024)

Revisiting GAN with Bayes-Optimal Discrimination
by: Naeini, Mohammadreza Tavasoli, et al.
Published: (2025)

Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-Based Cognitive Workload Detection
by: KN, Vishnu, et al.
Published: (2023)

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure
by: Savdhariya, Maharshi
Published: (2026)

Combining Euclidean Alignment and Data Augmentation for BCI decoding
by: Rodrigues, Gustavo H., et al.
Published: (2024)

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications
by: Ahmadi, Hossein, et al.
Published: (2025)

Pareto-Optimal Model Selection for Low-Cost, Single-Lead EMG Control in Embedded Systems
by: Kho, Carl Vincent Ladres
Published: (2026)

Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network
by: Li, Yuenan, et al.
Published: (2020)

Inductive transfer learning from regression to classification in ECG analysis
by: Jayasundara, Ridma, et al.
Published: (2025)

Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
by: Dam, Harvey, et al.
Published: (2025)

Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
by: Artemasov, Dmitry, et al.
Published: (2026)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

PRACH Preamble Detection as a Multi-Class Classification Problem: A Machine Learning Approach Using SVM
by: Ferenc, F., et al.
Published: (2025)

Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features
by: McCann, Jordan F.
Published: (2026)

PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models
by: Klein, Guido, et al.
Published: (2024)

AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI
by: Mohammadi, Amirhossein, et al.
Published: (2026)

Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
by: Tuononen, Marko, et al.
Published: (2024)