Robust Statistics for Signal Processing

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

ISBN 10: 1107017416 / ISBN 13: 9781107017412

Published by Cambridge Univ Pr, 2018

About this Item

250 pages. 9.00x7.00x0.50 inches. In Stock. Seller Inventory # x-1107017416

Bibliographic Details

Title: Robust Statistics for Signal Processing

Publisher: Cambridge Univ Pr

Publication Date: 2018

Binding: Hardcover

Condition: Brand 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.