Hidden Markov Models: Theory and Implementation using MATLAB
João Paulo Coelho, Polytechnic Institute of Bragança;
Tatiana M. Pinho, INESC TEC;
José Boaventura-Cunha, UTAD University
CRC Press, Inc., 2019
ISBN: 9780367203498;
Language: English
Hidden Markov Models: Theory and Implementation using MATLAB 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 Features
- 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
MATLAB examples are used throughout the book.
