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IISER-KIndian Institute of Science Education & Research - Kolkata
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Record 2 of 3
You searched IISERK - Title: First edition
Tag In 1 In 2 Data
001  vtls000022191
003  IISER-K
005  20140514172700.0
006  m e d
007  cr bn |||m|||a
008  120213s2008 paua fob 001 0 eng d
020  \a 9780898717747 (electronic bk.)
020  \z 9780898716658 (print)
020  \z 0898716659 (print)
039 9\a 201405141727 \b VLOAD \y 201202131220 \z Siladitya
08204\a 519.2/33 \2 22
1001 \a Fraser, Andrew M.
24510\a Hidden Markov models and dynamical systems \h [electronic resource] / \c Andrew M. Fraser.
260  \a Philadelphia, Pa. : \b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), \c 2008.
300  \a 1 electronic text (xii, 132 p.) : \b ill., digital file.
504  \a Includes bibliographical references (p. 125-129) and index.
5050 \a 1. Introduction -- 2. Basic algorithms -- 3. Variants and generalizations -- 4. Continuous states and observations and Kalman filtering -- 5. Performance bounds and a toy problem -- 6. Obstructive sleep apnea.
506  \a Restricted to subscribers or individual electronic text purchasers.
5203 \a This text provides an introduction to hidden Markov models (HMMs) for the dynamical systems community. It is a valuable text for third or fourth year undergraduates studying engineering, mathematics, or science that includes work in probability, linear algebra and differential equations. The book presents algorithms for using HMMs, and it explains the derivation of those algorithms. It presents Kalman filtering as the extension to a continuous state space of a basic HMM algorithm. The book concludes with an application to biomedical signals. This text is distinctive for providing essential introductory material as well as presenting enough of the theory behind the basic algorithms so that the reader can use it as a guide to developing their own variants.
530  \a Also available in print version.
538  \a Mode of access: World Wide Web.
538  \a System requirements: Adobe Acrobat Reader.
588  \a Description based on title page of print version.
650 0\a Markov processes.
650 0\a Dynamics.
653  \a Hidden Markov model
653  \a HMM
653  \a Time series
653  \a Chaos
653  \a Estimation
653  \a Statistics
7102 \a Society for Industrial and Applied Mathematics.
77608\i Print version: \z 0898716659 \z 9780898716658 \w (DLC) 2008028742
85640\3 SIAM \u http://epubs.siam.org/ebooks/siam/other_titles_in_applied_mathematics/ot107 \y SIAM

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