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A comparison of univariate, vector, bilinear autoregressive, and band power features for brain–computer interfaces

Selecting suitable feature types is crucial to obtain good overall brain–computer interface performance. Popular feature types include logarithmic band power (logBP), autoregressive (AR) parameters, time-domain parameters, and wavelet-based methods. In this study, we focused on different variants of...

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Bibliografske podrobnosti
Main Authors: Brunner, Clemens, Billinger, Martin, Vidaurre, Carmen, Neuper, Christa
Format: Artigo
Jezik:Inglês
Izdano: Springer-Verlag 2011
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC3208819/
https://ncbi.nlm.nih.gov/pubmed/21947797
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11517-011-0828-x
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