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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
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational EnvironmentsCode2
S^3 -- Semantic Signal SeparationCode2
Fetal ECG Extraction from Maternal ECG using Attention-based CycleGANCode1
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike TrainsCode1
Faster IVA: Update Rules for Independent Vector Analysis based on Negentropy and the Majorize-Minimize PrincipleCode1
GPU-accelerated Guided Source Separation for Meeting TranscriptionCode1
Unsupervised Composable Representations for AudioCode1
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder AutoencodersCode1
Independent mechanism analysis, a new concept?Code1
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech MixturesCode1
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
Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel OutputCode1
Unrolling PALM for sparse semi-blind source separationCode1
Analysis Co-Sparse Coding for Energy Disaggregation—0
Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems—0
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry—0
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks—0
A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring—0
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture—0
Distributed Blind Source Separation based on FastICA—0
A Hypothesis Testing Approach to Nonstationary Source Separation—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 Normative and Biologically Plausible Algorithm for Independent Component Analysis—0
Determined BSS based on time-frequency masking and its application to harmonic vector analysis—0
Blind Demixing of Diffused Graph Signals—0
Blind nonnegative source separation using biological neural networks—0
A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition—0
Blind Source Separation Algorithms Using Hyperbolic and Givens Rotations for High-Order QAM Constellations—0
A unified method for super-resolution recovery and real exponential-sum separation—0
A Unified Bayesian View on Spatially Informed Source Separation and Extraction based on Independent Vector Analysis—0
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA—0
Dialogue Enhancement in Object-based Audio -- Evaluating the Benefit on People above 65—0
Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images—0
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization—0
AudioSlots: A slot-centric generative model for audio separation—0
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems—0
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis—0
Consistent ICA: Determined BSS meets spectrogram consistency—0
Convergent Bayesian formulations of blind source separation and electromagnetic source estimation—0
Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources—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
Data-Driven Source Separation Based on Simplex Analysis—0
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation—0
Blind source separation of baseband RF communication signals using mixed-signal matrix multiplication circuit—0
Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—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
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