I am an Associate Professor of Electrical Engineering at the University of Newcastle, Australia. My research interests are in statistical signal processing and its applications in wireless communications, climate science, oceanography, and biomedicine.
Appointment as Area Editor of IEEE Trans. Signal Processing
19 April 2010
IEEE Transactions on Signal Processing
Editor-in-Chief Professor Athina Petropulu has appointed Peter Schreier
as Area Editor.
To ensure the high quality of publications and to make the best
possible use of reviewer resources, the IEEE Transactions on Signal
Processing have implemented a new review procedure. All submitted
manuscripts are now prescreened according to IEEE guidelines to
determine whether they are comprehensible, fall within the scope of the
periodical, and meet a minimum criterion for technical substance
established for this journal. Only the manuscripts that meet the above
criteria are sent out for external review. The prescreening process is
coordinated by Area Editors who also continue to hold an appointment as
Associate Editor. Currently the Transactions on Signal Processing
have 8 Area Editors and 76 Associate Editors.Cambridge publishes book on complex-valued signal processing
16
February 2010
Peter J. Schreier and
Louis L. Scharf
Statistical Signal Processing of Complex-Valued Data:
The
Theory of
Improper and Noncircular Signals
330 pages, Cambridge
University Press, 2010
Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs.
The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes.
Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography.
