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008			220601s2014 sz | s |||| 0|eng d
020			_a9783031025365
024	7		_a10.1007/978-3-031-02536-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.3 _b2014 EB
100	1		_aKovvali, Narayan V. S. K. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686557
245	1	3	_aAn Introduction to Kalman Filtering with MATLAB Examples _cby Narayan Kovvali, Mahesh Banavar, Andreas Spanias
250			_a1st edition 2014
264		1	_aCham _bSpringer International Publishing _c2014
300			_a1 recurso en línea (IX, 71 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Signal Processing _x1932-1694
505	0		_aAcknowledgments -- Introduction -- The Estimation Problem -- The Kalman Filter -- Extended and Decentralized Kalman Filtering -- Conclusion -- Notation -- Bibliography -- Authors' Biographies.
520			_aThe Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications, e.g., target tracking, guidance and navigation, and communications systems. The purpose of this book is to present a brief introduction to Kalman filtering. The theoretical framework of the Kalman filter is first presented, followed by examples showing its use in practical applications. Extensions of the method to nonlinear problems and distributed applications are discussed. A software implementation of the algorithm in the MATLAB programming language is provided, as well as MATLAB code for several example applications discussed in the manuscript.
988			_aSynthesis Collection of Technology_2014
630	0	0	_9683084 _aMATLAB (Archivo de ordenador)
650		7	_2embne _9670999 _aKalman, Filtro de
650		7	_2embne _9278962 _aProceso de señales _xProceso de datos
700	1		_aBanavar, Mahesh K. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686142
700	1		_aSpanias, Andreas _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686104
776	0	8	_iPrinted edition: _z9783031014086
776	0	8	_iPrinted edition: _z9783031036644
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02536-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI