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710	2		_aSpringerLink (Online service) _9106996
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020			_a9789811369322
024	7		_a10.1007/978-981-13-6932-2 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5102.9 _b2019 EB
100	1		_aWu, Renbiao _9671131
245	1	0	_aPrinciples and Applications of RELAX : _bA Robust and Universal Estimator _cby Renbiao Wu, Qiongqiong Jia, Lei Yang, Qing Feng
264		1	_aSingapore _bImprint: Springer _c2019
300			_a1 recurso en línea (XVI, 302 páginas) _b90 ilustraciones, 6 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aBasic Principles of Parameter Estimation -- Basic Principles of GRELAX -- Application of GRELAX in Line Spectrum Estimation -- Application of GRELAX in Time Delay Estimation -- Application of GRELAX in DOA Estimation -- Application of GRELAX in Radar Target Imaging -- Other Typical Applications of GRELAX.
520	3		_aThe multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues that are frequently encountered in the fields of radar, sonar, communications, and navigation. Research in the signal processing and control fields has always focused on improving the estimation performance of parameter estimation methods at low SNR and maintaining the robustness of estimations in the presence of model errors. This book presents a universal and robust relaxation estimation method (RELAX), and introduces its basic principles and applications in the fields of classical line spectrum estimation, time of delay estimation, DOA estimation, and radar target imaging. This information is explained comprehensively and in great detail, and uses metaphors pertaining to romantic relationships to visualize the basic problems of parameter estimation, the basic principles of the five types of classical parameter estimation methods, and the relationships between these principles. The book serves as a reference for scientists and technologists in the fields of signal processing and control, while also providing relevant information for graduate students in the related fields.
650		7	_2embne _aProceso de señales _9150608
700	1		_aFeng, Qing. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aJia, Qiongqiong. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aYang, Lei. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9789811369315
776	0	8	_iPrinted edition: _z9789811369339
776	0	8	_iPrinted edition: _z9789811369346
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6932-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _ek _zSI