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Communications Engineering (Master of Science) >>
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Convex Optimization in Communications and Signal Processing (ConvOpt(A))- Dozent/in
- apl. Prof. Dr.-Ing. Wolfgang Gerstacker, Akad. Dir.
- Angaben
- Vorlesung
Präsenz
3 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit und Ort: Mo, Mi 14:15 - 15:45, 01.021
- Studienfächer / Studienrichtungen
- 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
- 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.
(automatisch geplant, erwartete Hörerzahl original: 15, fixe Veranstaltung: nein)
- 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 ([online]):Tutorial for Convex Optimization in Communications and Signal Processing
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Dozent/in: 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)
- Institution: Lehrstuhl für Digitale Übertragung
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