Foreword (by Fernando Lopes L. Da Silva)

Piotr Durka has written an unusual book on the analysis of the electroencephalogram (EEG) that goes beyond the mathematical fundaments and the subtleties of signal analysis. He proposes an original ``unifying theory'' that may account for how  different aspects of EEG signals may be analyzed within a common theoretical framework.
This is an ambitious objective. He shows in this book how this objective may be achieved in clear language, for specialists in signal analysis and clinical neurophysiologists alike.
The studies on which this book is based stem from the research line pursued in the course of the last decades by the Warsaw group led by Katarzyna Blinowska. This book represents a  comprehensive account of the theoretical and mathematical basis of adaptive time-frequency EEG signal analysis, as well as of  the methodology of how the corresponding algorithms can be implemented in everyday practice.
This book represents a novel link between the visually guided  feature extraction approach made by the electroencephalographer in everyday practice, and the advanced computer analysis based on  ``matching pursuit'' and related  algorithms. In this way, this book provides a remarkable synthesis between theory and practice.
This important contribution to the literature should be an incentive  to advance the field of electroencephalography, both for theoreticians and clinical neurophysiologists.

Fernando Lopes da Silva, M.D., Ph.D.
University of Amsterdam
Amsterdam, the Netherlands
March 2007