Objective: Electroencephalography (EEG) has an influential role in neuroscience and
commercial applications. Most of the tools available for EEG signal analysis use machine …

EEG is a common and safe test that uses small electrodes to record electrical signals from
the brain. It has a broad range of applications in medical diagnosis, including diagnosis of …

The purpose of this paper is the presentation of a tentative general framework for change
detection in signals and systems. It is based upon a non-exhaustive survey of available …

After a brief survey of a large variety of sequential detection procedures that are widely
scattered in statistical references on quality control and engineering references on fault …

This book has a distinct philosophy and it is appropriate to make it explicit at the outset. In
our view almost all classic statistical inference is based upon the assumption (explicit or …

The problem of adaptive segmentation of time series with abrupt changes in the spectral
characteristics is addressed. Such time series have been encountered in various fields of …

To assist in the reviewing of prolonged EEGs, we have developed an automatic EEG
analysis method that can be used to compress the prolonged EEG into two pages. The …

Estimation can be classified in terms of the quantity to be estimated as parameter estimation
or state/signal estimation. A" parameter" usually refers to a constant (or slowly-varying) …

The POPEYE system is a grey level computer vision system developed at CMU for research
and development. The system provides a convenient environment for research by coupling …

The problem of sequential detection of abrupt changes in the spectral behavior of a digital
signal is addressed. This problem arises, for example, in the sequential segmentation of …