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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
Dialogue Enhancement in Object-based Audio -- Evaluating the Benefit on People above 65—0
Difficulties applying recent blind source separation techniques to EEG and MEG—0
A deep learning pipeline for identification of motor units in musculoskeletal ultrasound—0
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems—0
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture—0
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry—0
Distributed Blind Source Separation based on FastICA—0
DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF—0
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation—0
Blind source separation of baseband RF communication signals using mixed-signal matrix multiplication circuit—0
Blind Source Separation Algorithms Using Hyperbolic and Givens Rotations for High-Order QAM Constellations—0
EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation—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 computationally efficient semi-blind source separation based approach for nonlinear echo cancellation based on an element-wise iterative source steering—0
Estimating Sparse Sources from Data Mixtures using Maxima in Phase Space Plots—0
Blind Source Separation in Biomedical Signals Using Variational Methods—0
EOG Artifact Removal from Single and Multi-channel EEG Recordings through the combination of Long Short-Term Memory Networks and Independent Component Analysis—0
Enhancing ICA Performance by Exploiting Sparsity: Application to FMRI Analysis—0
Blind Source Separation: Fundamentals and Recent Advances (A Tutorial Overview Presented at SBrT-2001)—0
Estimating the intrinsic dimension in fMRI space via dataset fractal analysis - Counting the `cpu cores' of the human brain—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
A Robustness Analysis of Blind Source Separation—0
Enhancing Blind Source Separation with Dissociative Principal Component Analysis—0
Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals—0
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization—0
Generalized Canonical Correlation Analysis and Its Application to Blind Source Separation Based on a Dual-Linear Predictor Structure—0
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation—0
Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations—0
Elliptical modeling and pattern analysis for perturbation models and classfication—0
Gradient of Probability Density Functions based Contrasts for Blind Source Separation (BSS)—0
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction—0
Heuristics for Efficient Sparse Blind Source Separation—0
Convergent Bayesian formulations of blind source separation and electromagnetic source estimation—0
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning—0
How secure is the time-modulated array-enabled ofdm directional modulation?—0
HYPERION: Hyperspectral Penetrating-type Ellipsoidal Reconstruction for Terahertz Blind Source Separation—0
HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration—0
基於稀疏成份分析之旋積盲訊號源分離方法 (Convolutive Blind Source Separation Based on Sparse Component Analysis) [In Chinese]—0
Implementation of fast ICA using memristor crossbar arrays for blind image source separations—0
Improved Differentially Private Decentralized Source Separation for fMRI Data—0
Independent Component Analysis by Entropy Maximization with Kernels—0
Blind Source Separation for NMR Spectra with Negative Intensity—0
Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization—0
Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation—0
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria—0
Integration of deep learning with expectation maximization for spatial cue based speech separation in reverberant conditions—0
Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering—0
Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Effective Blind Source Separation Based on the Adam Algorithm—0
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