# Blind Source Separation Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/blind-source-separation-techniques/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on blind source separation and independent component analysis, with applications in signal decomposition, biomedical signals, and processing of convolutive mixtures. The methods often utilize sparse representation and exploit the temporal structure of the signals, particularly in the frequency domain. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t11447 |
| Works | 97 |

## Topic papers all

Showing 15 of 97.

- [Removing electroencephalographic artifacts by blind source separation](https://scholariq.org/papers/removing-electroencephalographic-artifacts-by-blind-source-separation/)
- [A method for making group inferences from functional MRI data using independent component analysis](https://scholariq.org/papers/a-method-for-making-group-inferences-from-functional-mri-data-using-independent/)
- [Online Learning for Matrix Factorization and Sparse Coding](https://scholariq.org/papers/online-learning-for-matrix-factorization-and-sparse-coding/)
- [Online dictionary learning for sparse coding](https://scholariq.org/papers/online-dictionary-learning-for-sparse-coding/)
- [Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps](https://scholariq.org/papers/fuzzy-artmap-a-neural-network-architecture-for-incremental-supervised-learning/)
- [ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network](https://scholariq.org/papers/artmap-supervised-real-time-learning-and-classification-of-nonstationary-data-by/)
- [Removal of Artifacts from EEG Signals: A Review](https://scholariq.org/papers/removal-of-artifacts-from-eeg-signals-a-review/)
- [Removing electroencephalographic artifacts by blind source separation](https://scholariq.org/papers/removing-electroencephalographic-artifacts-by-blind-source-separation-2/)
- [A comparison of classification techniques for the P300 Speller](https://scholariq.org/papers/a-comparison-of-classification-techniques-for-the-p300-speller/)
- [Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms](https://scholariq.org/papers/spatial-and-temporal-independent-component-analysis-of-functional-mri-data/)
- [Mapping of scalp potentials by surface spline interpolation](https://scholariq.org/papers/mapping-of-scalp-potentials-by-surface-spline-interpolation/)
- [Signal Processing With Compressive Measurements](https://scholariq.org/papers/signal-processing-with-compressive-measurements/)
- [Automated diagnosis of epileptic EEG using entropies](https://scholariq.org/papers/automated-diagnosis-of-epileptic-eeg-using-entropies/)
- [Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property](https://scholariq.org/papers/analysis-of-orthogonal-matching-pursuit-using-the-restricted-isometry-property/)
- [A guide to group effective connectivity analysis, part 2: Second level analysis with PEB](https://scholariq.org/papers/a-guide-to-group-effective-connectivity-analysis-part-2-second-level-analysis/)

## Topic primary papers

Showing 15 of 20.

- [Removing electroencephalographic artifacts by blind source separation](https://scholariq.org/papers/removing-electroencephalographic-artifacts-by-blind-source-separation/)
- [A method for making group inferences from functional MRI data using independent component analysis](https://scholariq.org/papers/a-method-for-making-group-inferences-from-functional-mri-data-using-independent/)
- [Removing electroencephalographic artifacts by blind source separation](https://scholariq.org/papers/removing-electroencephalographic-artifacts-by-blind-source-separation-2/)
- [Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms](https://scholariq.org/papers/spatial-and-temporal-independent-component-analysis-of-functional-mri-data/)
- [A theoretical justification of the average reference in topographic evoked potential studies](https://scholariq.org/papers/a-theoretical-justification-of-the-average-reference-in-topographic-evoked/)
- [Extended ICA Removes Artifacts from Electroencephalographic Recordings](https://scholariq.org/papers/extended-ica-removes-artifacts-from-electroencephalographic-recordings/)
- [REG-ICA: A hybrid methodology combining Blind Source Separation and regression techniques for the rejection of ocular artifacts](https://scholariq.org/papers/reg-ica-a-hybrid-methodology-combining-blind-source-separation-and-regression/)
- [Nonlinear alignment and averaging for estimating the evoked potential](https://scholariq.org/papers/nonlinear-alignment-and-averaging-for-estimating-the-evoked-potential/)
- [Autoregressive Estimation of Short Segment Spectra for Computerized EEG Analysis](https://scholariq.org/papers/autoregressive-estimation-of-short-segment-spectra-for-computerized-eeg-analysis/)
- [The multi-component nature of statistical learning](https://scholariq.org/papers/the-multi-component-nature-of-statistical-learning/)
- [An adaptive filter for steady-state evoked responses](https://scholariq.org/papers/an-adaptive-filter-for-steady-state-evoked-responses/)
- [Removal of ocular artifacts from the EEG: a comparison between time-domain regression method and adaptive filtering method using simulated data](https://scholariq.org/papers/removal-of-ocular-artifacts-from-the-eeg-a-comparison-between-time-domain/)
- [Separation of stationary and non-stationary sources with a generalized eigenvalue problem](https://scholariq.org/papers/separation-of-stationary-and-non-stationary-sources-with-a-generalized/)
- [A 1.5-D Multi-Channel EEG Compression Algorithm Based on NLSPIHT](https://scholariq.org/papers/a-1-5-d-multi-channel-eeg-compression-algorithm-based-on-nlspiht/)
- [Yet another artefact rejection study: an exploration of cleaning methods for biological and neuromodulatory noise](https://scholariq.org/papers/yet-another-artefact-rejection-study-an-exploration-of-cleaning-methods-for/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.