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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
Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellationCode0
Sparse and Non-Negative BSS for Noisy DataCode0
Blind Source Separation Algorithms Using Hyperbolic and Givens Rotations for High-Order QAM Constellations—0
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation—0
A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition—0
DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF—0
Distributed Blind Source Separation based on FastICA—0
Blind nonnegative source separation using biological neural networks—0
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry—0
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture—0
Blind Demixing of Diffused Graph Signals—0
EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation—0
Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
Difficulties applying recent blind source separation techniques to EEG and MEG—0
Dialogue Enhancement in Object-based Audio -- Evaluating the Benefit on People above 65—0
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks—0
Determined BSS based on time-frequency masking and its application to harmonic vector analysis—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering—0
Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: a Hyperspectral Unmixing Method Dealing with Intra-class Variability—0
Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA—0
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments—0
A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis—0
A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring—0
Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization—0
Data-Driven Source Separation Based on Simplex Analysis—0
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation—0
Implementation of fast ICA using memristor crossbar arrays for blind image source separations—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
A Unifying View on Blind Source Separation of Convolutive Mixtures based on Independent Component Analysis—0
A Normative and Biologically Plausible Algorithm for Independent Component Analysis—0
HYPERION: Hyperspectral Penetrating-type Ellipsoidal Reconstruction for Terahertz Blind Source Separation—0
How secure is the time-modulated array-enabled ofdm directional modulation?—0
Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources—0
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning—0
HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration—0
Convergent Bayesian formulations of blind source separation and electromagnetic source estimation—0
A unified method for super-resolution recovery and real exponential-sum separation—0
Improved Differentially Private Decentralized Source Separation for fMRI Data—0
Independent Component Analysis by Entropy Maximization with Kernels—0
Heuristics for Efficient Sparse Blind Source Separation—0
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction—0
Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation—0
Consistent ICA: Determined BSS meets spectrogram consistency—0
Integration of deep learning with expectation maximization for spatial cue based speech separation in reverberant conditions—0
Gradient of Probability Density Functions based Contrasts for Blind Source Separation (BSS)—0
Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy—0
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis—0
A Unified Bayesian View on Spatially Informed Source Separation and Extraction based on Independent Vector Analysis—0
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