Robust Statistics for Signal Processing - Hardcover

Zoubir, Abdelhak M.; Koivunen, Visa; Ollila, Esa; Muma, Michael

Hardcover

ISBN 10: 1107017416 ISBN 13: 9781107017412

Verlag: Cambridge University Press, 2018

Inhaltsangabe

Moving from fundamental theory to cutting-edge advances in the field, gain a comprehensive understanding of the benefits that robust statistics bring to signal processing with this authoritative treatment of the subject. Real-world examples and a MATLAB Robust Signal Processing Toolbox allow for easy practical application of the methods described.

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Reseña del editor

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.

Biografía del autor

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).

Details zur Ausgabe

• Verlag: Cambridge University Press
• Erscheinungsdatum: 2018
• ISBN 10: 1107017416
• ISBN 13: 9781107017412
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 312