Robust Statistics for Signal Processing

Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael Muma

Research output: Book/ReportBookScientificpeer-review

Abstract

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.
Original languageEnglish
Place of PublicationCambridge
PublisherCambridge University Press
ISBN (Electronic)9781139084291
ISBN (Print)9781107017412
DOIs
Publication statusPublished - 2018
MoE publication typeC1 Separate scientific books

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