Robust Statistics for Signal Processing
Hardcover/Mathematics 312 pages English Nov 08, 2018
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Cambridge University Press
Robust Statistics for Signal Processing
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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.
- Author:
- Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael Muma
- Publisher:
- Cambridge University Press
- Publication Date:
- Nov 08, 2018
- Number of pages:
- 312 pages
- Language:
- English
- Binding:
- Hardcover/Mathematics
- ISBN-10:
- 1107017416
- ISBN-13:
- 9781107017412