Zoubir, Abdelhak M., <br/><br/>
Robust statistics for signal processing / 
Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael Muma. 
 - 1 online resource (xxii, 291 pages) :  digital, PDF file(s). 
<br/><br/> Title from publisher's bibliographic system (viewed on 29 Oct 2018). 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781139084291 (ebook) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Robust statistics.<br/>Signal processing--Mathematics.
<br/><br/><label>LC Class. No.: </label>QA276  / .Z68 2018 
<br/><br/><label>Dewey Class. No.: </label>519.5