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001			978-981-99-8063-5
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020			_a9789819980635 _9978-981-99-8063-5
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100	1		_aFadali, M. Sami. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aIntroduction to Random Signals, Estimation Theory, and Kalman Filtering _h[electronic resource] / _cby M. Sami Fadali.
250			_a1st ed. 2024.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024.
300			_aXXI, 480 p. 118 illus., 79 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aReview of Probability Theory -- Random Variables -- Random Signals (autocorrelation, power spectral density) -- Response of Linear Systems to Random Inputs (continuous, discrete) -- Estimation and Estimator Properties (small sample and large sample properties of estimators, CRLB) -- Least Square Estimation Likelihood (likelihood function, detection) -- Maximum Likelihood Estimation -- Minimum Mean-Square Error Estimation (Kalman Filter, information filter, filter stability) -- Generalizing the Basic Kalman Filter (colored noise, correlated noise, reduced-order estimator, Schmidt Kalman filter sequential computation) -- Prediction and Smoothing -- Nonlinear Filtering (Extended Kalman filter, unscented Kalman filter, ensemble Kalman filter, particle filter) -- The Expectation Maximization Algorithm -- Markov Models.
520			_aThis book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.
541			_fUABC ; _cPerpetuidad
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aAutomation.
650		0	_aAerospace engineering.
650		0	_aAstronautics.
650		0	_aTelecommunication.
650	1	4	_aControl, Robotics, Automation.
650	2	4	_aAerospace Technology and Astronautics.
650	2	4	_aCommunications Engineering, Networks.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789819980628
776	0	8	_iPrinted edition: _z9789819980642
776	0	8	_iPrinted edition: _z9789819980659
856	4	0	_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-8063-5
912			_aZDB-2-INR
912			_aZDB-2-SXIT
942			_cLIBRO_ELEC
999			_c274697 _d274696