Robust Statistics for Signal Processing (Hardcover)

1. Introduction and foundations; 2. Robust estimation: the linear regression model; 3. Robust penalized regression in the linear model; 4. Robust estimation of location and scatter (covariance) matrix; 5. Robustness in sensor array processing; 6. Tensor models and robust statistics; 7. Robust filtering; 8. Robust methods for dependent data; 9. Robust spectral estimation; 10. Robust bootstrap methods; 11. Real-life applications.