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Advanced Information Theory (IT-A)- Lecturer
- Prof. Dr.-Ing. Ralf Müller
- Details
- Vorlesung
3 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
Time and place: Tue 08:15 - 09:45, 0.151-115; Wed 12:15 - 13:45, 0.151-115
- Fields of study
- WF CE-MA-TA-IT ab 2
WF CE-MA-AM ab 2
WPF EEI-BA-INT 5-6
WPF EEI-MA-INT 1-4
WPF CME-MA ab 2
WPF IuK-MA-ÜTMK-EEI 1-4
WPF BPT-MA-E 1-3
WF ASC-MA 1-4
- Prerequisites / Organisational information
- Recommended: A basic course on information theory
- Contents
- Rate region, multiuser source coding, time sharing, multiuser channel codes, multiple-access channel (MAC), capacity region, mutual information versus minimum-mean squared error, Gaussian MAC , power region, Gaussian vector MAC, source coding with side information, degraded broadcast channel, Gaussian broadcast-MAC duality, Gaussian vector broadcast channel, dirty-paper coding, physically degraded relay channel, scalar Gaussian relay channel, Gaussian interference channel, cut-set bound, fading channels, multiuser water filling, block fading, diversity, user diversity, capacity versus outage, near-far gain, dual antenna arrays, Wishart distribution, factor iid model, Kronecker model, convergence of random variables, semi-circle law, quarter circle law, full circle law, Haar distribution, Marchenko-Pastur distribution, Stieltjes transform, Girko’s law, unitary invariance, freeness, free convolution, R-transform, free central limit theorem, free Poisson limit theorem, subordination, S-transform, R-diagonal random matrices, R-diagonal free convolution, Haagerup-Larsen law, operator-valued freeness, linearization of noncommutative polynomials, free Fourier transform
- Recommended literature
- Cover, T., Thomas, J.: Elements of Information Theory, 2nd ed., Wiley, Hoboken, 2006.
Couillet, R., Debbah, M.: Random Matrix Methods for Wireless Communications, Cambridge Univ. Press, Cambridge, 2011.
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 20
- Assigned lectures
- UE: Tutorial for Advanced Information Theory
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Lecturers: Prof. Dr.-Ing. Ralf Müller, Ebrahim Amiri, M. Sc.
Time and place: n.V.
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2017/2018:
- Advanced Information Theory (IT-A)
- Department: Institute for Digital Communications (IDC) (Prof. Dr. Schober)
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