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Hidden Markov models : theory and implementation using Matlab

Author: João Paulo Coelho, (Mathematician); Tatiana M Pinho; José Boaventura-Cunha
Publisher: Boca Raton, FL : CRC Press, 2019 ©2019
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e.g. speech processing. Moreover, it presents the translation of hidden Markov models' concepts from the domain of formal mathematics into computer codes using MATLAB. The unique feature of this book is  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Coelho, João Paulo (Mathematician).
Hidden Markov models.
Boca Raton, FL : CRC Press, 2019
(DLC) 2019010285
(OCoLC)1091294883
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: João Paulo Coelho, (Mathematician); Tatiana M Pinho; José Boaventura-Cunha
ISBN: 9780429261046 0429261047 9780429523168 0429523165 9780429551338 0429551339 9780429536632 0429536631
OCLC Number: 1111577990
Notes: "A science publishers book."
Description: 1 online resource (xiii, 268 pages)
Contents: Introduction --
Probability theory and stochastic processes --
Discrete hidden Markov models --
Continuous hidden Markov models --
Autoregressive Markov models --
Selected applications
Responsibility: João Paulo Coelho, Instituto Politecnico de Braganca-Escola Superior de Technologia e Gestao, Braganaca, Portugal ; Tatiana M. Pinho, INESC TEC Technology and Science, Porto, Portugal ; José Boaventura-Cunha, Universidade de Trans-os-Montes e Alto Douro, Vila Real, Portugal

Abstract:

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e.g. speech processing. Moreover, it presents the translation of hidden Markov models' concepts from the domain of formal mathematics into computer codes using MATLAB. The unique feature of this book is that the theoretical concepts are first presented using an intuition-based approach followed by the description of the fundamental algorithms behind hidden Markov models using MATLAB. This approach, by means of analysis followed by synthesis, is suitable for those who want to study the subject using a more empirical approach. Key Selling Points: Presents a broad range of concepts related to Hidden Markov Models (HMM), from simple problems to advanced theory Covers the analysis of both continuous and discrete Markov chains Discusses the translation of HMM concepts from the realm of formal mathematics into computer code Offers many examples to supplement mathematical notation when explaining new concepts

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