Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila

Robust Statistics for Signal Processing

• Gebundenes Buch

Produktbeschreibung

Understand the benefits of robust statistics for signal processing using this unique and authoritative text.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 314
• Erscheinungstermin: 8. November 2018
• Englisch
• Abmessung: 250mm x 175mm x 21mm
• Gewicht: 726g
• ISBN-13: 9781107017412
• ISBN-10: 1107017416
• Artikelnr.: 52420906

Autorenporträt

Abdelhak M. Zoubir is a Professor of Signal Processing and the Head of the Signal Processing Group at Technische Universität, Darmstadt, Germany. He is a Fellow of the IEEE, an IEEE Distinguished Lecturer, and the co-author of Bootstrap Techniques for Signal Processing (Cambridge, 2004).

Inhaltsangabe

1. Introduction and foundations
2. Robust estimation: the linear regression model
3. Robust penalized regression in the linear model
4. Robust estimation of location and scatter (covariance) matrix
5. Robustness in sensor array processing
6. Tensor models and robust statistics
7. Robust filtering
8. Robust methods for dependent data
9. Robust spectral estimation
10. Robust bootstrap methods
11. Real-life applications.