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Information Theory and Source Coding

Course 220077220 in WS 2013/4

General Data

Course Type Lecture w/ Exercise
Semester Weekly Hours 3 SWS
Organisational Unit Chair of Communications Engineering (Prof. Kramer)

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Review of probability theory. Uncertainty and mutual information. Sources and the source coding theorem: source models (discrete memoryless source, Markov source); source coding principles. Lossless source coding: prefix-free codes, Shannon-Fano codes, Huffman codes; principles of arithmetic coding, run-length coding; universal source coding (Lempel-Ziv algorithm). Discrete channels and the channel coding theorem: discrete channels and their capacity; channel coding principles; application to practical modulation schemes. Continuous channels: discrete-time and continuous-time, band-limited channels; AWGN-channels; limits of communication; parallel Gaussian channels. Multiple-access channels: achievable rate region; orthogonal accessing techniques.
Links Course documents
E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

WS 2012/3 Information Theory and Source Coding
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