000			02133nam a22003618i 4500
001			CR9781139084291
003			UkCbUP
005			20200124160345.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110504s2018||||enk o ||1 0|eng|d
020			_a9781139084291 (ebook)
020			_z9781107017412 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA276 _b.Z68 2018
082	0	0	_a519.5 _223
100	1		_aZoubir, Abdelhak M., _eauthor.
245	1	0	_aRobust statistics for signal processing / _cAbdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael Muma.
264		1	_aCambridge : _bCambridge University Press, _c2018.
300			_a1 online resource (xxii, 291 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 29 Oct 2018).
520			_aUnderstand 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.
650		0	_aRobust statistics.
650		0	_aSignal processing _xMathematics.
700	1		_aKoivunen, Visa, _eauthor.
700	1		_aOllila, Esa, _d1974- _eauthor.
700	1		_aMuma, Michael, _d1981- _eauthor.
776	0	8	_iPrint version: _z9781107017412
856	4	0	_uhttps://doi.org/10.1017/9781139084291
999			_c523895 _d523893