Lecture Signalanalyse (signal analysis)
(Here you can find formally binding study and examination regulations and module descriptions. )
Content
Signal analysis is used to extract relevant information or features from signals (e.g. audio, image and bio-signals), which form the basis for subsequent further processing, e.g. the classification of the signals (see lecture on Pattern Recognition). We focus on signals that play a role in human-machine interfaces, including audio and speech signals, image signals and electrical biosignals (brain and muscle signals). We will also learn about methods such as Principal Component Analysis (for dimensionality reduction) and Independent Component Analysis (for blind source separation). The lecture will be rounded off by demonstrating current methods for recognizing or synthesizing speech from “silent” speech movements.
The lecture language can be English or German and will be determined in the first lecture.
The lecture is suitable for
| Subject | Degree | Module name | Module number |
|---|---|---|---|
| Informationstechnik | Diplom | Angewandte Intelligente Signalverarbeitung | ET-12 09 13 |
| Informationssystemtechnik | Diplom | Angewandte Intelligente Signalverarbeitung | ET-12 09 13 |
Also suitable for students of other technical disciplines.
Recommended background knowledge: Systemtheorie (system theory) I and II, Signalverarbeitung (signal processing)