Hidden Markov Models: Theory and Implementation Using Matlab

Coelho, João Paulo/ Pinho, Tatiana M./ Boaventura-cunha, José

ISBN 10: 0367203499 / ISBN 13: 9780367203498

Verlag: CRC Pr I Llc, 2019

Beschreibung

268 pages. 9.50x6.50x0.75 inches. In Stock.

Bestandsnummer des Verkäufers x-0367203499

Bibliografische Details

• Titel: Hidden Markov Models: Theory and Implementation Using Matlab
• Verlag: CRC Pr I Llc
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 0367203499
• ISBN-13: 9780367203498
• Einband: Hardcover
• Zustand: Brand New
• Gewicht: 0,75 Kilogramm

Über diesen Titel

Inhaltsangabe

It presents analysis of both continuous and discrete Markov chains. It deals with concepts in a generic way, most books on Hidden Markov Models focus on speech processing applications. It presents the translation of Hidden Markov Models concepts from the realm of formal mathematics into computer codes using a high-level language.

Über die Autorin bzw. den Autor

João Paulo Coelho is an adjunct professor, and currently the Electrical Engineering course director, at the Polytechnic Institute of Bragança. He is also a researcher at CeDRI and holds a Ph.D. degree in computational intelligence applied to agricultural greenhouses. He has been involved, as a researcher member, in several scientific projects at both the national and European level. His research interests include control systems design, machine learning, electronic instrumentation, embedded systems and discrete-event computer simulation.

Tatiana M. Pinho graduated in Energy Engineering from the University of Trás-os-Montes e Alto Douro (UTAD), Portugal in 2011 and received the MSc degree in Energy Engineering from UTAD in 2013. In 2018, she received the Ph.D. degree in Electrical and Computer Engineering in UTAD and INESC TEC Technology and Science, supported by the FCT. Presently she is a postdoctoral researcher at the INESC TEC and her research interests include systems’ modeling and adaptive control.

José Boaventura-Cunha graduated in Electronics and Telecommunications Engineering and has a Ph.D. degree in Electrical and Computer Engineering. Presently he is an Associate Professor with habilitation at the UTAD University, a senior researcher at the INESC-TEC and member of IFAC and IEEE. He has coordinated/participated in several national and international research projects aiming the development of new instrumentation, modelling and control technologies applied to agriculture. His research interests include modeling, system identification and adaptive control.