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...
Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2010-06-02T20:48:01Z.
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Subjects: | |
Online Access: | Get fulltext |