Robust Statistics for Signal Processing

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Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael MumaCambridge University Press, 11/8/2018EAN 9781107017412, ISBN10: 1107017416Hardcover, 312 pages, 25.4 x 17.8 x 1.8 cmLangu age: EnglishUnderstand 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.1. Introduction and foundations2. Robust estimationthe linear regression model3. Robust penalized regression in the linear model4. Robust estimation of location and scatter (covariance) matrix5. Robustness in sensor array processing6. Tensor models and robust statistics7. Robust filtering8. Robust methods for dependent data9. Robust spectral estimation10. Robust bootstrap methods11. Real-life applications. Show more