EEG artifact removal—state-of-the-art and guidelines

JA Urigüen, B Garcia-Zapirain - Journal of neural engineering, 2015 - iopscience.iop.org
This paper presents an extensive review on the artifact removal algorithms used to remove
the main sources of interference encountered in the electroencephalogram (EEG) …

Data-driven model reduction and transfer operator approximation

S Klus, F Nüske, P Koltai, H Wu, I Kevrekidis… - Journal of Nonlinear …, 2018 - Springer
In this review paper, we will present different data-driven dimension reduction techniques for
dynamical systems that are based on transfer operator theory as well as methods to …

Independent component analysis, a new concept?

P Comon - Signal processing, 1994 - Elsevier
The independent component analysis (ICA) of a random vector consists of searching for a
linear transformation that minimizes the statistical dependence between its components. In …

A blind source separation technique using second-order statistics

A Belouchrani, K Abed-Meraim… - … on signal processing, 1997 - ieeexplore.ieee.org
Separation of sources consists of recovering a set of signals of which only instantaneous
linear mixtures are observed. In many situations, no a priori information on the mixing matrix …

[CITATION][C] Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

A Cichocki - John Wiley & Sons google schola, 2002 - books.google.com
With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

Blind signal separation: statistical principles

JF Cardoso - Proceedings of the IEEE, 1998 - ieeexplore.ieee.org
Blind signal separation (BSS) and independent component analysis (ICA) are emerging
techniques of array processing and data analysis that aim to recover unobserved signals or" …

Identification of slow molecular order parameters for Markov model construction

G Pérez-Hernández, F Paul, T Giorgino… - The Journal of …, 2013 - pubs.aip.org
A goal in the kinetic characterization of a macromolecular system is the description of its
slow relaxation processes via (i) identification of the structural changes involved in these …

Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA

S Lachapelle, P Rodriguez, Y Sharma… - … on Causal Learning …, 2022 - proceedings.mlr.press
This work introduces a novel principle we call disentanglement via mechanism sparsity
regularization, which can be applied when the latent factors of interest depend sparsely on …

Indeterminacy and identifiability of blind identification

L Tong, RW Liu, VC Soon… - IEEE Transactions on …, 1991 - ieeexplore.ieee.org
Blind identification of source signals is studied from both theoretical and algorithmic aspects.
A mathematical structure is formulated from which the acceptable indeterminacy is …

The cocktail party problem

S Haykin, Z Chen - Neural computation, 2005 - direct.mit.edu
This review presents an overview of a challenging problem in auditory perception, the
cocktail party phenomenon, the delineation of which goes back to a classic paper by Cherry …