Robust Statistics for Signal Processing
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| Title: | Robust Statistics for Signal Processing |
|---|---|
| Description: | 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. |
| Authors: | Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael Muma |
| Resource Type: | eBook. |
| Subjects: | Robust statistics, Signal processing--Mathematics |
| Categories: | TECHNOLOGY & ENGINEERING / Signals & Signal Processing |
| Database: | eBook Collection (EBSCOhost) |
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