Constrained Null Space Component Analysis for Semiblind Source Separation Problem.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
The blind source separation (BSS) problem extracts unknown sources from observations of their unknown mixtures. A current trend in BSS is the semiblind approach, which incorporates prior information on sources or how the sources are mixed. The constrained independent component analysis (ICA) approach has been studied to impose constraints on the famous ICA framework. We introduced an alternative a...
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关键词
Blind source separation,Brain modeling,Null space,Convergence,Algorithm design and analysis,Signal processing algorithms
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