ROBUST STATISTICS FOR SIGNAL PROCESSING
Zoubir, Abdelhak M.; Koivunen, Visa; Ollila, Esa; Muma, Michael
ISBN 10: 1107017416 ISBN 13: 9781107017412
Published by Cambridge University Press, 2018
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Synopsis:
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.
About the Authors:
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).
Visa Koivunen is a Professor of Signal Processing at Aalto University, Finland. He is also a Fellow of the IEEE and an IEEE Distinguished Lecturer.
Esa Ollila is an Associate Professor of Signal Processing at Aalto University, Finland.
Michael Muma is a Postdoctoral Research Fellow in the Signal Processing Group at Technische Universität, Darmstadt, Germany.
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Bibliographic Details
Title: ROBUST STATISTICS FOR SIGNAL PROCESSING
Publisher: Cambridge University Press
Publication Date: 2018
Binding: Hardcover
Condition: New