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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 1–50 of 211 papers

TitleStatusHype
S^3 -- Semantic Signal SeparationCode2
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational EnvironmentsCode2
Unsupervised Composable Representations for AudioCode1
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder AutoencodersCode1
GPU-accelerated Guided Source Separation for Meeting TranscriptionCode1
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike TrainsCode1
Unrolling PALM for sparse semi-blind source separationCode1
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection SeparationCode1
Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat TrackingCode1
Independent mechanism analysis, a new concept?Code1
Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel OutputCode1
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech MixturesCode1
Fetal ECG Extraction from Maternal ECG using Attention-based CycleGANCode1
Faster IVA: Update Rules for Independent Vector Analysis based on Negentropy and the Majorize-Minimize PrincipleCode1
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation ModelsCode0
Blind Source Separation in Biomedical Signals Using Variational Methods—0
Spatial Speech Translation: Translating Across Space With Binaural Hearables—0
HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration—0
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal AnalysisCode0
Joint Spectrogram Separation and TDOA Estimation using Optimal Transport—0
A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection RemovalCode0
Revisiting convolutive blind source separation for identifying spiking motor neuron activity: From theory to practiceCode0
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations—0
Enhancing Blind Source Separation with Dissociative Principal Component Analysis—0
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning—0
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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