EEG Signal Processing and Machine Learning. Saeid Sanei

Чтение книги онлайн.

СКАЧАТЬ Jing, H. and Takigawa, M. (2000). Observation of EEG coherence after repetitive transcranial magnetic stimulation. Clinical Neurophysiology 111: 1620–1631.

      35 35 Kuś, R., Kaminski, M., and Blinowska, K. (2004). Determination of EEG activity propagation: pair‐wise versus multichannel estimate. IEEE Transactions on Biomedical Engineering 51 (9): 1501–1510.

      36 36 Ginter, J. Jr., Kaminski, M.J., Blinowska, K.J., and Durka, P. (2001). Phase and amplitude analysis in time–frequency–space; application to voluntary finger movement. Journal of Neuroscience Methods 110: 113–124.

      37 37 Akaike, H. (1974). A new look at statistical model order identification. IEEE Transactions on Automatic Control 19: 716–723.

      38 38 Ding, M., Bressler, S.L., Yang, W., and Liang, H. (2000). Short‐window spectral analysis of cortical event‐related potentials by adaptive multivariate autoregressive modelling: data preprocessing, model validation, and variability assessment. Biological Cybernetics 83: 35–45.

      39 39 Widrow, B., Glover, J.R., McCool, J. Jr. et al. (1975). Adaptive noise cancelling principles and applications. Proceedings of the IEEE 63 (12): 1692–1716.

      40 40 Satorius, E.H. and Shensa, M.J. (1980). Recursive lattice filters: a brief overview. Proceedings of the 19th IEEE Conference on Decision Control, 955–959.

      41 41 Lee, D., Morf, M., and Friedlander, B. (1981). Recursive square‐root ladder estimation algorithms. IEEE Transactions on Accoustic, Speech, Signal Processing 29: 627–641.

      42 42 Lawsen, C.L. and Hansen, R.J. (1974). Solving Least‐Squares Problem. Prentice Hall.

      43 43 Proakis, J.G., Rader, C.M., Ling, F. et al. (2001). Algorithms for Statistical Signal Processing. Prentice Hall.

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