Blind source separation based on the probabilistic tensor factorisation framework
Project description
DECOMPOSE is a probabilistic blind source separation framework that can be flexibly adjusted to the data, is extensible and easy to use, adapts to individual sources and handles large-scale data through algorithmic efficiency. DECOMPOSE encompasses and generalises many traditional BSS algorithms such as PCA, ICA and NMF.
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