Hidden Markov Models and Dynamical Systems

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9780898716658: Hidden Markov Models and Dynamical Systems

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.

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Book Description:

An introduction to hidden Markov models for the dynamical systems community. The book presents algorithms for using HMMs and explains the derivation of those algorithms. It provides introductory material for undergraduate study in engineering, mathematics, or science that includes work in probability, linear algebra and differential equations.

About the Author:

Andrew M. Fraser is a Technical Staff Member in the ISR division of the Los Alamos National Laboratory where he uses stochastic models in his work on signal analysis. He spent 15 years at Portland State University in Oregon serving on the faculties of both the Systems Science PhD Program and the Electrical and Computer Engineering Department before joining LANL in 2005. He earned a PhD in Physics from UT-Austin with a dissertation on the use of mutual information estimates in the analysis of chaotic time series. Before graduate school, he designed bipolar memory technology and products at Fairchild semiconductor. He is a member of SIAM and a Senior Member of the IEEE.

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Andrew M Fraser
Editore: SIAM SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS, United States (2009)
ISBN 10: 0898716659 ISBN 13: 9780898716658
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Descrizione libro SIAM SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS, United States, 2009. Trade Paperback. Condizione libro: New. TRADE PAPERBACK Legendary independent bookstore online since 1994. Reliable customer service and no-hassle return policy. Science and Mathematics>Mathematics>Probability and Statistics>General. Book: NEW, New. Bookseller Inventory # 01978089871665800. Codice libro della libreria 01978089871665800

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Andrew M. Fraser
Editore: Society for Industrial Applied Mathematics,U.S., United States (2011)
ISBN 10: 0898716659 ISBN 13: 9780898716658
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Descrizione libro Society for Industrial Applied Mathematics,U.S., United States, 2011. Paperback. Condizione libro: New. Language: English . Brand New Book. Hidden Markov models (HMMs) are discrete-state, discrete-time, stochastic dynamical systems. They are often used to approximate systems with continuous state spaces operating in continuous time. In addition to introducing the basic ideas of HMMs and algorithms for using them, this book explains the derivations of the algorithms with enough supporting theory to enable readers to develop their own variants. The book also presents Kalman filtering as an extension of ideas from basic HMMs to models with continuous state spaces. Although applications of HMMs have become numerous (396,000 Google hits) since they emerged as the key technology for speech recognition in the 1980s, no introductory book on HMMs in general is available. This text aims to fill that gap. Hidden Markov Models and Dynamical Systems features illustrations that use the Lorenz system, laser data, and natural language data. The concluding chapter presents the application of HMMs to detecting sleep apnea in experimentally measured electrocardiograms. Algorithms are given in pseudocode in the text, and a working implementation of each algorithm is available on the accompanying website. Codice libro della libreria AAN9780898716658

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Andrew M. Fraser
Editore: Society for Industrial Applied Mathematics,U.S., United States (2011)
ISBN 10: 0898716659 ISBN 13: 9780898716658
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Descrizione libro Society for Industrial Applied Mathematics,U.S., United States, 2011. Paperback. Condizione libro: New. Language: English . Brand New Book. Hidden Markov models (HMMs) are discrete-state, discrete-time, stochastic dynamical systems. They are often used to approximate systems with continuous state spaces operating in continuous time. In addition to introducing the basic ideas of HMMs and algorithms for using them, this book explains the derivations of the algorithms with enough supporting theory to enable readers to develop their own variants. The book also presents Kalman filtering as an extension of ideas from basic HMMs to models with continuous state spaces. Although applications of HMMs have become numerous (396,000 Google hits) since they emerged as the key technology for speech recognition in the 1980s, no introductory book on HMMs in general is available. This text aims to fill that gap. Hidden Markov Models and Dynamical Systems features illustrations that use the Lorenz system, laser data, and natural language data. The concluding chapter presents the application of HMMs to detecting sleep apnea in experimentally measured electrocardiograms. Algorithms are given in pseudocode in the text, and a working implementation of each algorithm is available on the accompanying website. Codice libro della libreria AAN9780898716658

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Descrizione libro Society for Industrial and Applied Mathematics, 2009. PAP. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria CE-9780898716658

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Descrizione libro Society for Industrial & Applied Mathematics,U.S. Paperback. Condizione libro: new. BRAND NEW, Hidden Markov Models and Dynamical Systems, Andrew M. Fraser, 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. Codice libro della libreria B9780898716658

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Descrizione libro Soc Industrial Applied Maths, 2008. Paperback. Condizione libro: NEW. 9780898716658 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Codice libro della libreria HTANDREE01294638

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Andrew M. Fraser
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Descrizione libro Cambridge University Press, 2009. Paperback. Condizione libro: Brand New. 1st edition. 143 pages. In Stock. Codice libro della libreria __0898716659

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Descrizione libro Society for Industrial and Applied Mathematics, 2009. Paperback. Condizione libro: New. book. Codice libro della libreria 0898716659

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Descrizione libro Society for Industrial and App, 2009. Paperback. Condizione libro: New. Codice libro della libreria P110898716659

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Descrizione libro Society for Industrial and Applied Mathematics. PAPERBACK. Condizione libro: New. 0898716659 New Condition. Codice libro della libreria NEW6.0603914

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