Dimensions of Uncertainty in Communication Engineering

Erscheinungsjahr 2022
ISBN: 978-0-323-99275-6
Verlag: Elsevier Science & Technology

Buch, Englisch, 290 Seiten, Format (B × H): 229 mm x 154 mm, Gewicht: 460 g

Dimensions of Uncertainty in Communication Engineering is a comprehensive and self-contained introduction to the problems of nonaleatory uncertainty and the mathematical tools needed to solve them. The book gathers together tools derived from statistics, information theory, moment theory, interval analysis and probability boxes, dependence bounds, nonadditive measures, and Dempster-Shafer theory. While the book is mainly devoted to communication engineering, the techniques described are also of interest to other application areas, and commonalities to these are often alluded to through a number of references to books and research papers. This is an ideal supplementary book for courses in wireless communications, providing techniques for addressing epistemic uncertainty, as well as an important resource for researchers and industry engineers. Students and researchers in other fields such as statistics, financial mathematics, and transport theory will gain an overview and understanding on these methods relevant to their field.

Zielgruppe

Students, researchers and industry engineers in communication engineering; Students and researchers in financial mathematics and transport theory.

Autoren/Hrsg.

Biglieri, Ezio

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

1. Model selection
2. Performance bounds from epistemic uncertainty
3. Moment bounds
4. Interval analysis
5. Probability boxes
6. Dependence bounds
7. Beyond probability

Über Autor(innen)

Biglieri, Ezio
Ezio Biglieri received his formal training in Electrical Engineering at Politecnico di Torino (Italy), where he received his Dr. Engr. degree in 1967. Before being an Honorary Professor at University Pompeu Fabra, he was a Professor at Università di Napoli (Italy), at Politecnico di Torino (Italy), and at UCLA (USA). He has held visiting positions with Bell Labs (USA), the École Nationale Supérieure des Télécommunications (Paris, France), the University of Sydney (Australia), the Yokohama National University (Japan), Princeton University (USA), the University of South Australia, the Munich Institute of Technology (Germany), the National University of Singapore, the National Taiwan University, the University of Cambridge (U.K.), ETH Zurich (Switzerland), and Monash University Melbourne (Australia). Among other honors, in 2000 he received the IEEE Third-Millennium Medal and the IEEE Donald G. Fink Prize Paper Award, in 2001 the IEEE Communications Society Edwin Howard Armstrong Achievement Award, in 2004, 2012, and 2015 the Journal of Communications and Networks Best Paper Award, in 2012 the IEEE Information Theory Society Aaron D. Wyner Distinguished Service Award, and in 2021 the IEEE Communications Society Heinrich Hertz Award. He is a Life Fellow of the IEEE.