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

Provides the tools and algorithms needed to deal with improper and noncircular complex signals, and highlights the resulting real-world payoffs.

Peter J. Schreier (Author), Louis L. Scharf (Author)

9780521897723, Cambridge University Press

Hardback, published 4 February 2010

330 pages, 55 b/w illus. 3 tables
0.3 x 17.9 x 2 cm, 0.81 kg

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

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.

1. The origins and uses of complex signals
2. Introduction to complex random vectors and processes
3. Second-order description of complex random vectors
4. Correlation analysis
5. Estimation
6. Performance bounds for parameter estimation
7. Detection
8. Wide-sense stationary processes
9. Nonstationary processes
10. Cyclostationary processes
Appendix A. Rudiments of matrix analysis
Appendix B. Complex differential calculus (Wirtinger calculus)
Appendix C. Introduction to majorization.

Subject Areas: Communications engineering / telecommunications [TJK], Electronics engineering [TJF], Mathematics [PB]