Advanced Topics in Communications Engineering
Vortragende/r (Mitwirkende/r) | |
---|---|
Nummer | 0000000944 |
Art | |
Umfang | 3 SWS |
Semester | Sommersemester 2020 |
Unterrichtssprache | Englisch |
Stellung in Studienplänen | Siehe TUMonline |
Termine | Siehe TUMonline |
Termine
Teilnahmekriterien
Beschreibung
The focus of this course is on modern coding theory. In contrast to classical coding theory, which finds its roots in algebra, modern coding theory refers to a broad family of coding techniques unified by the use of sparse-graph constructions, iterative decoding algorithms, and probabilistic methods. For this reason, modern codes are also sometimes referred to as graph-based codes or probabilistic codes. Iterative message-passing methods have revolutionized coding, and more generally, communications and storage.
The course covers recent advances in modern coding theory: (capacity-achieving) spatially-coupled codes, turbo-like codes, product-like codes from a modern coding theory lens, coding for ultra high-throughput applications, neural decoders, and the application of coding to areas beyond communication and storage.
The course will cover the following content:
1. Factor graphs
2. LDPC codes (review)
3. Spatially-coupled LDPC codes
4. Turbo-like codes
5. Spatially-coupled turbo-like codes
6. Product-like codes from a modern coding theory lens
7. LDPC decoders for high-throughput applications
8. Product-like decoders for high-throughput applications
9. Rateless codes
10. Neural decoders for linear block codes
11. Applications of (graph-based) coding beyond communications and storage
Inhaltliche Voraussetzungen
Basic channel coding