Artoni, F., Delorme, A., & Makeig, S. (2018). Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage (Orlando, Fla.), 175, 176-187. https://doi.org/10.1016/j.neuroimage.2018.03.016
Chicago-Zitierstil (17. Ausg.)Artoni, Fiorenzo, Arnaud Delorme, und Scott Makeig. "Applying Dimension Reduction to EEG Data by Principal Component Analysis Reduces the Quality of Its Subsequent Independent Component Decomposition." NeuroImage (Orlando, Fla.) 175 (2018): 176-187. https://doi.org/10.1016/j.neuroimage.2018.03.016.
MLA-Zitierstil (9. Ausg.)Artoni, Fiorenzo, et al. "Applying Dimension Reduction to EEG Data by Principal Component Analysis Reduces the Quality of Its Subsequent Independent Component Decomposition." NeuroImage (Orlando, Fla.), vol. 175, 2018, pp. 176-187, https://doi.org/10.1016/j.neuroimage.2018.03.016.