Convex Optimization in Communications and Signal Processing (ConvOpt)
- Dozent/in
- apl. Prof. Dr.-Ing. Wolfgang Gerstacker
- Angaben
- Vorlesung
3 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit und Ort: Di 14:15 - 15:45, A 2.28; Bemerkung zu Zeit und Ort: Am Übungstermin (Freitag) findet alle zwei Wochen (im Wechsel mit der Übung) auch eine Vorlesung statt.
- Studienfächer / Studienrichtungen
- WPF EEI-MA-INT ab 1
WPF EEI-BA-INT 5-6
WF CME-MA ab 1
WPF MT-MA ab 1
WPF CE-MA ab 1
WPF BPT-MA-E 1-3
WPF ASC-MA 1-4
- Voraussetzungen / Organisatorisches
- Signals and Systems, Communications
- Inhalt
- 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.
- Empfohlene Literatur
- Boyd, Steven ; Vandenberghe, Lieven: Convex Optimization. Cambridge, UK : Cambridge University Press, 2004
- ECTS-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 15, Maximale Teilnehmerzahl: 20
- Zugeordnete Lehrveranstaltungen
- UE: Tutorial for Convex Optimization in Communications and Signal Processing
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Dozentinnen/Dozenten: apl. Prof. Dr.-Ing. Wolfgang Gerstacker, Anna Moldovan, M. Sc.
Zeit und Ort: Fr 10:15 - 11:45, A 2.28
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2016/2017:
- Convex Optimization in Communications and Signal Processing (ConvOpt)
- Institution: Institute for Digital Communications (IDS) (Prof. Dr. Schober)
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