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Algebra, Codes, and Signal Processing
Last Updated: 2026-02-05 14:57:26
Objective
The course is an introduction to abstract and linear algebra and to their application in the theory of error correcting codes and in digital signal processing.
Content
Groups, rings, fields; Cooley-Tukey FFT and Good-Thomas FFT; Error correcting codes; RS-, BCH-, convolutional, turbo-, and ldpc codes; structure of linear systems; Hilbert spaces, least squares, and pseudo inverse; factor graphs and message passing algorithms; Kalman filtering
Resources
Lecture Notes
Lecture Notes (english)
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Algebra, Codes, and Signal Processing |
|
4 h weekly |