Robust Statistics for Signal Processing
eBook - PDF

Robust Statistics for Signal Processing

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Robust Statistics for Signal Processing

About this book

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.

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Yes, you can access Robust Statistics for Signal Processing by Abdelhak M. Zoubir,Visa Koivunen,Esa Ollila,Michael Muma in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Preface
  7. Abbreviations
  8. List of Symbols
  9. 1 Introduction and Foundations
  10. 2 Robust Estimation: The Linear Regression Model
  11. 3 Robust Penalized Regression in the Linear Model
  12. 4 Robust Estimation of Location and Scatter (Covariance) Matrix
  13. 5 Robustness in Sensor Array Processing
  14. 6 Tensor Models and Robust Statistics
  15. 7 Robust Filtering
  16. 8 Robust Methods for Dependent Data
  17. 9 Robust Spectral Estimation
  18. 10 Robust Bootstrap Methods
  19. 11 Real-Life Applications
  20. Bibliography
  21. Index