Description: 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 theoryCovers the analysis of both continuous and discrete Markov chainsDiscusses the translation of HMM concepts from the realm of formal mathematics into computer codeOffers many examples to supplement mathematical notation when explaining new concepts
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EAN: 9780367203498
UPC: 9780367203498
ISBN: 9780367203498
MPN: N/A
Book Title: Hidden Markov Models: Theory and Implementation us
Item Length: 23.4 cm
Number of Pages: 282 Pages
Publication Name: Hidden Markov Models: Theory and Implementation Using Matlab (R)
Language: English
Publisher: Taylor & Francis Ltd
Item Height: 234 mm
Subject: Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 585 g
Author: Joao Paulo Coelho, Tatiana M. Pinho, Jose Boaventura-Cunha
Item Width: 156 mm
Format: Hardcover