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Constrain Component Extraction Techniques
2015
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
unpublished
Preserved Fulltext
Component extraction is wide used in biomedical signal processing. Traditional independent component analysis (ICA) techniques aim to estimate all underling components from their mixtures simultaneously. To overcome the drawbacks, a constrained separation approach is presented for extraction of one or a few desired source signals. Its performance is demonstrated by computer simulations on biomedical signals.
doi:10.2991/icmra-15.2015.154
fatcat:6olbimqlcfepznjtjabpr7bgau