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blind source separation

Blind source separation (BSS) is a signal processing technique that aims to separate multiple source signals from a set of mixed signals, without any prior knowledge about the sources or the mixing process. The goal is to recover the original source signals from the observed mixtures, typically using statistical and computational methods. BSS has applications in various fields such as audio signal processing, image processing, and telecommunications. It is used to extract useful information from mixed signals and to improve the quality of the source signals.

Papers

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Showing 26–50 of 211 papers

TitleStatusHype
Distributed Blind Source Separation based on FastICA—0
MotionLeaf: Fine-grained Multi-Leaf Damped Vibration Monitoring for Plant Water Stress using Low-Cost mmWave Sensors—0
PRIME: Blind Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry—0
Neural Blind Source Separation and Diarization for Distant Speech Recognition—0
Nonparametric Evaluation of Noisy ICA Solutions—0
Online Similarity-and-Independence-Aware Beamformer for Low-latency Target Sound Extraction—0
A computationally efficient semi-blind source separation based approach for nonlinear echo cancellation based on an element-wise iterative source steering—0
MultiView Independent Component Analysis with Delays—0
How secure is the time-modulated array-enabled ofdm directional modulation?—0
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA—0
Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics—0
Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and FrameworkCode0
EOG Artifact Removal from Single and Multi-channel EEG Recordings through the combination of Long Short-Term Memory Networks and Independent Component Analysis—0
EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation—0
Source Identification: A Self-Supervision Task for Dense Prediction—0
Ongoing EEG artifact correction using blind source separation—0
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation—0
AudioSlots: A slot-centric generative model for audio separation—0
A New Non-Negative Matrix Factorization Approach for Blind Source Separation of Cardiovascular and Respiratory Sound Based on the Periodicity of Heart and Lung Function—0
A Robustness Analysis of Blind Source Separation—0
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model—0
Identification of Power System Oscillation Modes using Blind Source Separation based on Copula StatisticCode0
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria—0
Nonparametric Independent Component Analysis for the Sources with Mixed Spectra—0
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture—0
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