Single-trial event-related potentials with wavelet denoising.

By R. Quian Quiroga, H. Garcia. Clinical Neurophysiology, 2003

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Across-trial averaging of event-related EEG responses and beyond. (2008, background): “This procedure efficiently enhances the signal-to-noise ratio of single EEG epochs [41,42].”
Single-trial analysis and classification of ERP components - A tutorial (2011, positive): “Here, the most prevalent techniques are bandpass, notch or Laplace filters as well as principle component analysis (PCA) and more sophisticated techniques such as wavelet denoising (Quiroga and Garcia, 2003) and blind source separation (BSS) techniques (Cardoso and Souloumiac, 1993; Comon, 1994; Bel”
Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering (2004, methodology): “The multiresolution decomposition algorithm separates the signal into details at different scales and a coarser representation of the signal named “approximation” (for details, see Mallat, Sakow-icz, Basar, & Sch¨urmann, 2001; Quian Quiroga & Garcia, 2003).”
Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis. (2015, positive): “With time-invariant approaches, such as Wiener filtering, it is not possible to find a unique implementation that is suitable for all event related potentials [10].”