Robust Statistics for Signal Processing (Hardcover)

Abdelhak M. Zoubir

ISBN 10: 1107017416 / ISBN 13: 9781107017412

Published by Cambridge University Press, Cambridge, 2018

About this Item

Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107017412

Bibliographic Details

Title: Robust Statistics for Signal Processing (...

Publisher: Cambridge University Press, Cambridge

Publication Date: 2018

Binding: Hardcover

Condition: new

About this title

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.