A probabilistic framework for learning robust common spatial patterns

Robustness in signal processing is crucial for the purpose of reliably interpreting physiological features from noisy data in biomedical applications. We present a robust algorithm based on the reformulation of a well-known spatial filtering and feature extraction algorithm named Common Spatial Patt...

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Bibliographic Details
Main Authors: Gao, Shangkai (Author), Wu, Wei (Contributor), Chen, Zhe (Contributor), Brown, Emery N. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-06-02T20:48:01Z.
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