This paper reviews several critical issues facing signal processing for brain–computer
interfaces (BCIs) and suggests several recent approaches that should be further examined …

The wake-sleep cycle, a spontaneous succession of global brain states that correspond to
major overt behaviors, occurs in all higher vertebrates. The transitions between these states …

The detrended cross-correlation coefficient ρ DCCA has recently been proposed to quantify
the strength of cross-correlations on different temporal scales in bivariate, nonstationary time …

The stationarity requirement for the process generating the data is a common assumption in
classifiers' design. When such hypothesis does not hold, eg, in applications affected by …

This paper presents a feature extraction procedure (FEP) for a brain-computer interface
(BCI) application where features are extracted from the electroencephalogram (EEG) …

A time series motif intuitively is a short time series that repeats itself approximately the same
within a larger time series. Such motifs often represent concealed structures, such as heart …

Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical
systems by changing their nature and behavior over time. To cope with a process evolution …

Data Streams occur naturally in several observational settings and often need to be
processed with a low latency. Streams pose unique challenges: they have no preset …

We propose a novel method for the analysis of sequential data that exhibits an inherent
mode switching. In particular, the data might be a non-stationary time series from a …

The dissertation introduces method and algorithm development for nonstationary, nonlinear
and dynamic signals. Furthermore, the dissertation concentrates on applying neural …