A review on analysis of EEG signals
暂无分享,去创建一个
[1] Richard G. Baraniuk,et al. Improved wavelet denoising via empirical Wiener filtering , 1997, Optics & Photonics.
[2] Dimitrios I. Fotiadis,et al. Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis , 2009, IEEE Transactions on Information Technology in Biomedicine.
[3] Ajit S. Bopardikar,et al. Wavelet transforms - introduction to theory and applications , 1998 .
[4] M. Dacorogna,et al. Modelling Short-Term Volatility with GARCH and Harch Models , 1997 .
[5] Tohru Ozaki,et al. GARCH modelling of covariance in dynamical estimation of inverse solutions , 2004 .
[6] D. Lehmann,et al. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. , 2002, Methods and findings in experimental and clinical pharmacology.
[7] Odoh M. Stock Feature Extraction Using Principal Component Analysis , .
[8] Daniel B. Nelson. Stationarity and Persistence in the GARCH(1,1) Model , 1990, Econometric Theory.
[9] Tzyy-Ping Jung,et al. Imaging brain dynamics using independent component analysis , 2001, Proc. IEEE.
[10] V. Hansen. Geometry in Nature , 1993 .
[11] B. Kannapiran,et al. EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications , 2013, 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN).
[12] N Pradhan,et al. Data compression by linear prediction for storage and transmission of EEG signals. , 1994, International journal of bio-medical computing.
[13] R. Arumuganathan,et al. Removal of artifacts from EEG signals using adaptive filter through wavelet transform , 2008, 2008 9th International Conference on Signal Processing.
[14] Werner Lutzenberger,et al. Fractal dimensions of short EEG time series in humans , 1997, Neuroscience Letters.
[15] A. Prochazka,et al. Wavelet transform use for feature extraction and EEG signal segments classification , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.