Cover Image

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Azmoodeh, Shayan K., Subramani, Krishna, Smaragdis, Paris
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations
by: Subramani, Krishna, et al.
Published: (2024)

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)

RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems
by: Niresi, Keivan Faghih, et al.
Published: (2025)

Real-Time Stress Detection via Photoplethysmogram Signals: Implementation of a Combined Continuous Wavelet Transform and Convolutional Neural Network on Resource-Constrained Microcontrollers
by: Hasanpoor, Yasin, et al.
Published: (2024)

Invertible Kernel PCA with Random Fourier Features
by: Gedon, Daniel, et al.
Published: (2023)

Bayesian Signal Component Decomposition via Diffusion-within-Gibbs Sampling
by: Zhang, Yi, et al.
Published: (2026)

SO(3)-invariant PCA with application to molecular data
by: Fraiman, Michael, et al.
Published: (2025)

Rate-Constrained Quantization for Communication-Efficient Federated Learning
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction
by: Chen, Wei, et al.
Published: (2024)

Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
by: Sen, Ovishake, et al.
Published: (2025)

Distributed Blind Source Separation based on FastICA
by: Musluoglu, Cem Ates, et al.
Published: (2024)

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation
by: Orfanidis, Georgios I.
Published: (2026)

Herglotz-NET: Implicit Neural Representation of Spherical Data with Harmonic Positional Encoding
by: Hanon, Théo, et al.
Published: (2025)

Combolutional Neural Networks
by: Churchwell, Cameron, et al.
Published: (2025)

Study on Downlink CSI compression: Are Neural Networks the Only Solution?
by: Praneeth, K. Sai, et al.
Published: (2025)

Neural Signals Generate Clinical Notes in the Wild
by: Pradeepkumar, Jathurshan, et al.
Published: (2026)

Signal Quality Auditing for Time-series Data
by: Gao, Chufan, et al.
Published: (2024)

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
by: Castro-Correa, Jhon A., et al.
Published: (2024)

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

Graph Signal Generative Diffusion Models
by: Uslu, Yigit Berkay, et al.
Published: (2025)

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders
by: Bralios, Dimitrios, et al.
Published: (2025)

Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
by: Putra, Hafizh Raihan Kurnia, et al.
Published: (2024)

Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering
by: Karakasis, Paris A., et al.
Published: (2025)

Consistent Signal Reconstruction from Streaming Multivariate Time Series
by: Ruiz-Moreno, Emilio, et al.
Published: (2023)

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)

Efficient Fault Detection in WSN Based on PCA-Optimized Deep Neural Network Slicing Trained with GOA
by: Feghhi, Mahmood Mohassel, et al.
Published: (2025)

Generating Realistic Multi-Beat ECG Signals
by: Pöhl, Paul, et al.
Published: (2025)

Risk-Aware Continuous Control with Neural Contextual Bandits
by: Ayala-Romero, Jose A., et al.
Published: (2023)

Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
by: Oppelt, Maximilian P, et al.
Published: (2020)

A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
by: Lee, Cho-Yuan, et al.
Published: (2024)

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

Homological Time Series Analysis of Sensor Signals from Power Plants
by: Melodia, Luciano, et al.
Published: (2021)

A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition
by: Liu, Jianyu, et al.
Published: (2024)

Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
by: Moniri, Behrad, et al.
Published: (2024)

Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
by: Yi, Haiming, et al.
Published: (2023)

Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
by: Oladunni, Timothy, et al.
Published: (2025)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
by: Yan, Yi, et al.
Published: (2024)

Conditional Generative Adversarial Networks Based Inertial Signal Translation
by: Kolakowski, Marcin
Published: (2025)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)

Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)