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Robust Statistics for Signal Processing

by Abdelhak M. Zoubir , Visa Koivunen , Esa Ollila
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Current price ₹17,398.00
Original price ₹17,810.00
Original price ₹17,810.00
Original price ₹17,810.00
(-2%)
₹17,398.00
Current price ₹17,398.00

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Book cover type: Hardcover
  • ISBN13: 9781107017412
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Cambridge University Press
  • Publisher Imprint: Cambridge University Press
  • Publication Date:
  • Pages: 312
  • Original Price: GBP 137.0
  • Language: English
  • Edition: N/A
  • Item Weight: 772 grams
  • BISAC Subject(s): Signals & 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.

Koivunen, Visa: - Visa Koivunen is a Professor of Signal Processing at Aalto University, Finland. He is also a Fellow of the IEEE and an IEEE Distinguished Lecturer.

Ollila, Esa: - Esa Ollila is an Associate Professor of Signal Processing at Aalto University, Finland.

Zoubir, Abdelhak M.: - Abdelhak M. Zoubir is a Professor of Signal Processing and the Head of the Signal Processing Group at Technische Universität, Darmstadt, Germany. He is a Fellow of the IEEE, an IEEE Distinguished Lecturer, and the co-author of Bootstrap Techniques for Signal Processing (Cambridge, 2004).

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