Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals - Rilegato

Schreier, Peter J.; Scharf, Louis L.

Rilegato

ISBN 10: 0521897726 ISBN 13: 9780521897723

Casa editrice: Cambridge University Press, 2010

Riassunto

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.

Su questo libro

Recensione:

"This book must be in the personal library of everyone who deals with random complex variables."
Guy Jumarie, Mathematical Reviews

Descrizione del libro:

This first all-inclusive account of statistical signal processing for improper and noncircular complex signals provides the tools and algorithms needed to deal with such signals and shows the payoffs that can be gained. Coverage of fundamental theory is broad, and examples and real-world applications are included to illustrate the theory.

Su questa edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2010
• ISBN 10: 0521897726
• ISBN 13: 9780521897723
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 330