Peter J. Schreier, Louis L. Scharf

Statistical Signal Processing of Complex-Valued Data

The Theory of Improper and Noncircular Signals

• Gebundenes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 330
• Erscheinungstermin: 3. Februar 2014
• Englisch
• Abmessung: 250mm x 175mm x 22mm
• Gewicht: 750g
• ISBN-13: 9780521897723
• ISBN-10: 0521897726
• Artikelnr.: 29338511

Autorenporträt

Peter J. Schreier is a Senior Lecturer in the School of Electrical Engineering and Computer Science, The University of Newcastle, Australia. He received his Ph.D. in electrical engineering from the University of Colorado at Boulder in 2003. He currently serves on the Editorial Board of the IEEE Transactions on Signal Processing, and on the IEEE Technical Committee of Machine Learning for Signal Processing.

Inhaltsangabe

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.