Singular spectrum analysis for tracking of P300
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S. Enshaeifar, , S. Sanei, and C. C. Took, (2014) Singular spectrum analysis for tracking of P300 In: 2014 International Joint Conference on Neural Networks (IJCNN), ? - ?.
Full text not available from this repository.Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Divisions : | Surrey research (other units) |
Authors : | S. Enshaeifar, , S. Sanei, and C. C. Took, |
Date : | 2014 |
Uncontrolled Keywords : | bioelectric potentials, electroencephalography, feature extraction, medical disorders, medical signal processing, principal component analysis, probability, signal classification, spectral analysis, EEG classification, P300 tracking, P3a features, P3b features, complex-valued singular spectrum analysis, complex-valued statistics, data channels, electroencephalogram, event-related potential, healthy subject, noncircular probability distribution, power difference, principal component analysis-like technique, schizophrenic patient, Correlation, Covariance matrices, Eigenvalues and eigenfunctions, Electroencephalography, Spectral analysis, Standards, Vectors |
Depositing User : | Symplectic Elements |
Date Deposited : | 17 May 2017 13:31 |
Last Modified : | 23 Jan 2020 18:39 |
URI: | http://epubs.surrey.ac.uk/id/eprint/839524 |
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