RobustSP
swMATH ID: | 27068 |
Software Authors: | Zoubir, Abdelhak M.; Koivunen, Visa; Ollila, Esa; Muma, Michael |
Description: | Robust statistics for signal processing. 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. |
Homepage: | https://github.com/RobustSP |
Dependencies: | Matlab |
Related Software: | Matlab; ode113; ode23; Ode15s; ode23s; ode45; CVX; MATLAB ODE suite; tscount; Cross; Wirtinger Flow; ITSM2000; itsmr |
Cited in: | 7 Documents |
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH | Year |
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Robust statistics for signal processing. Zbl 1401.94003 Zoubir, Abdelhak M.; Koivunen, Visa; Ollila, Esa; Muma, Michael |
2018
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Cited by 22 Authors
Cited in 4 Serials
3 | Journal of the Franklin Institute |
1 | Operations Research |
1 | Computational Statistics and Data Analysis |
1 | Statistical Inference for Stochastic Processes |
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top 5