Convex Optimization in Communications and Signal Processing (ConvOpt(A))- Lecturer
- apl. Prof. Dr.-Ing. Wolfgang Gerstacker, Akad. Dir.
- Details
- Vorlesung
Präsenz
3 cred.h, ECTS studies, ECTS credits: 5, Sprache Englisch
Time and place: Mon, Wed 14:15 - 15:45, 01.021
- Fields of study
- WPF EEI-MA-INT ab 1
WPF EEI-BA-INT 5-6
WF CME-MA ab 1
WPF MT-MA-BDV ab 1
WPF CE-MA ab 1
WPF BPT-MA-E 1-3
WPF ASC-MA 1-4
- Prerequisites / Organisational information
- Signals and Systems, Communications
- Contents
- Convex optimization problems are a special class of mathematical problems which arise in a variety of practical applications. In this course we focus on the theory of convex optimization, corresponding algorithms, and applications in communications and signal processing (e.g. statistical estimation, allocation of resources in communications networks, and filter design). Special attention is paid to recognizing and formulating convex optimization problems and their efficient solution.
The course is based on the textbook "Convex Optimization" by Boyd and Vandenberghe and includes a tutorial in which many examples and exercises are discussed.
(automatisch geplant, erwartete Hörerzahl original: 15, fixe Veranstaltung: nein)
- Recommended literature
- Boyd, Steven ; Vandenberghe, Lieven: Convex Optimization. Cambridge, UK : Cambridge University Press, 2004
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 15, Maximale Teilnehmerzahl: 20
- Assigned lectures
- UE ([online]):Tutorial for Convex Optimization in Communications and Signal Processing
-
Lecturer: Adela Vagollari, M. Sc.
Zeit:
www: https://www.studon.fau.de/crs4039641.html
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2022/2023:
- Convex Optimization in Communications and Signal Processing (ConvOpt)
- Department: Institute for Digital Communications (IDC) (Prof. Dr. Schober)
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