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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 51–100 of 211 papers

TitleStatusHype
Estimating Sparse Sources from Data Mixtures using Maxima in Phase Space Plots—0
Implementation of fast ICA using memristor crossbar arrays for blind image source separations—0
A Unifying View on Blind Source Separation of Convolutive Mixtures based on Independent Component Analysis—0
DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF—0
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational EnvironmentsCode2
Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellationCode0
Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition—0
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation—0
Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation—0
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches—0
Spatial Loss for Unsupervised Multi-channel Source Separation—0
Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity—0
DURRNet: Deep Unfolded Single Image Reflection Removal NetworkCode0
Single microphone speaker extraction using unified time-frequency Siamese-Unet—0
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems—0
Blind source separation of baseband RF communication signals using mixed-signal matrix multiplication circuit—0
Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic NeuronsCode0
Unsupervised Sparse Unmixing of Atmospheric Trace Gases from Hyperspectral Satellite Data—0
Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms—0
Unrolling PALM for sparse semi-blind source separationCode1
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms—0
A Normative and Biologically Plausible Algorithm for Independent Component Analysis—0
A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring—0
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection SeparationCode1
One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal—0
Variational Component Decoder for Source Extraction from Nonlinear Mixture—0
Machine learning methods for modelling and analysis of time series signals in geoinformatics—0
HYPERION: Hyperspectral Penetrating-type Ellipsoidal Reconstruction for Terahertz Blind Source Separation—0
Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction—0
Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation—0
Photonic Interference Cancellation with Hybrid Free Space Optical Communication and MIMO Receiver—0
Modifications of FastICA in Convolutive Blind Source Separation—0
Wideband photonic blind source separation with optical pulse sampling—0
Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients—0
Robust Blind Source Separation by Soft Decision-Directed Non-Unitary Joint Diagonalization—0
Online Self-Attentive Gated RNNs for Real-Time Speaker Separation—0
Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat TrackingCode1
Independent mechanism analysis, a new concept?Code1
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring—0
A Hypothesis Testing Approach to Nonstationary Source Separation—0
Integration of deep learning with expectation maximization for spatial cue based speech separation in reverberant conditions—0
Joint Dereverberation and Separation with Iterative Source Steering—0
Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images—0
Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation—0
Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel OutputCode1
Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time SignalsCode0
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech MixturesCode1
Blind Demixing of Diffused Graph Signals—0
Joint deconvolution and unsupervised source separation for data on the sphereCode0
Provably robust blind source separation of linear-quadratic near-separable mixtures—0
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