Hidden Markov Models: Theory and Implementation Using Matlab(r)
暫譯: 隱馬可夫模型：理論與 Matlab(r) 實作
Coelho, Joao Paulo, Pinho, Tatiana M., Boaventura-Cunha, Jose
相關主題
商品描述
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(R). 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(R). 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
商品描述(中文翻譯)
這本書以綜合的形式呈現三種不同類型的隱藏馬可夫模型的分析與合成。與其他專注於特定主題（例如語音處理）的書籍不同，本書是通用的，並不專注於某一特定主題。此外，本書將隱藏馬可夫模型的概念從正式數學領域轉換為使用 MATLAB(R) 的計算機代碼。本書的獨特之處在於，理論概念首先以基於直覺的方法呈現，然後描述隱藏馬可夫模型背後的基本算法，使用 MATLAB(R)。這種通過分析再到合成的方法，適合那些希望以更實證的方法學習該主題的人。
**主要賣點：**
- 提供與隱藏馬可夫模型（HMM）相關的廣泛概念，從簡單問題到高級理論
- 涵蓋連續和離散馬可夫鏈的分析
- 討論將 HMM 概念從正式數學領域轉換為計算機代碼
- 提供許多示例，以補充數學符號，幫助解釋新概念
作者簡介
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.
作者簡介(中文翻譯)
若昂·保羅·科艾略是布拉干薩理工學院的兼任教授，目前擔任電機工程課程主任。他同時也是CeDRI的研究員，擁有應用於農業溫室的計算智能博士學位。他作為研究成員參與了多個國家及歐洲層級的科學計畫。他的研究興趣包括控制系統設計、機器學習、電子儀器、嵌入式系統及離散事件計算機模擬。
塔蒂亞娜·M·平霍於2011年在葡萄牙特拉斯-奧斯-蒙特斯與阿爾托杜羅大學（UTAD）獲得能源工程學士學位，並於2013年在UTAD獲得能源工程碩士學位。她於2018年在UTAD及INESC TEC科技與科學獲得電機與計算機工程博士學位，該學位由FCT支持。目前她是INESC TEC的博士後研究員，研究興趣包括系統建模與自適應控制。
荷西·博阿文圖拉-庫尼亞畢業於電子與電信工程，並擁有電機與計算機工程博士學位。目前他是UTAD大學的副教授，並在INESC-TEC擔任高級研究員，同時是IFAC和IEEE的成員。他協調/參與了多個國內外研究計畫，旨在開發應用於農業的新儀器、建模和控制技術。他的研究興趣包括建模、系統識別和自適應控制。
