Independent Component Analysis in Source Separation

This cluster focuses on methods utilizing Independent Component Analysis (ICA) for blind source separation in various contexts. It includes applications ranging from neurophysiological data analysis to multimodal approaches for separating moving audio sources.

Independent Component Analysis
blind source separation
neurophysiological data
multimodal methods
moving sources
single channel

4,609 papers

Parent topic: Audio Signal Processing Techniques

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