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
Citace podle Chicago (17th ed.)Artoni, Fiorenzo, Arnaud Delorme, a 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.
Citace podle MLA (9th ed.)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.