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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