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Elektrotechnik, Elektronik und Informationstechnik (Master of Science) >>
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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: Mo 12:15 - 13:45, 0.154-115; Mi 10:15 - 11:45, 0.15
- 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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Dozent/in: apl. Prof. Dr.-Ing. Wolfgang Gerstacker
Zeit und Ort: n.V.
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2017/2018:
- Convex Optimization in Communications and Signal Processing (ConvOpt)
- Institution: Lehrstuhl für Digitale Übertragung
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