The lecture provides an introduction to the fundamentals of Shannon information theory. The goal is that students can derive the main information theoretic results on maximal achievable lossless (source coding) and lossy (rate distortion theory) compression of data and on maximum data rates for reliable data transmission (channel coding). The methods and tools required, e.g., information measures (entropy, mutual information, capacity etc.) and their properties (typical sequences) will be covered as well as practical applicable simple codes (block, turbo and polar codes).
Course (ET-NT-072) with 5 Credit Points.
Lecturer: Prof. Eduard Jorswieck
Assistant: Jyun-Sian Wu, Marcel Mross
Lecture
Contact hours (SWS): 2h
Start: 27.10.2022
Time: Thursday, 13:15 -14:45
Location: SN 22.2
Language: German or English
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Exercise
Contact hours (SWS): 1h
Time: Tuesday, 08:00 - 09:30
Location: SN 22.2
Start: 01.11.2022
Language: German and English
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