000 | 03109nam a22005295i 4500 | ||
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001 | 978-3-031-02536-5 | ||
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007 | cr nn 008mamaa | ||
008 | 220601s2014 sz | s |||| 0|eng d | ||
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_a9783031025365 _9978-3-031-02536-5 |
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_a10.1007/978-3-031-02536-5 _2doi |
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100 | 1 |
_aKovvali, Narayan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981451 |
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245 | 1 | 3 |
_aAn Introduction to Kalman Filtering with MATLAB Examples _h[electronic resource] / _cby Narayan Kovvali, Mahesh Banavar, Andreas Spanias. |
250 | _a1st ed. 2014. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
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300 |
_aIX, 71 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_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. | ||
650 | 0 |
_aEngineering. _99405 |
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650 | 0 |
_aElectrical engineering. _981452 |
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650 | 0 |
_aSignal processing. _94052 |
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650 | 1 | 4 |
_aTechnology and Engineering. _981453 |
650 | 2 | 4 |
_aElectrical and Electronic Engineering. _981454 |
650 | 2 | 4 |
_aSignal, Speech and Image Processing. _931566 |
700 | 1 |
_aBanavar, Mahesh. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981455 |
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700 | 1 |
_aSpanias, Andreas. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981456 |
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710 | 2 |
_aSpringerLink (Online service) _981457 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031014086 |
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_iPrinted edition: _z9783031036644 |
830 | 0 |
_aSynthesis Lectures on Signal Processing, _x1932-1694 _981458 |
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