Inhalt
[ 289SISYSIVU20 ] UE Signal Processing
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| Es ist eine neuere Version 2025W dieser LV im Curriculum Bachelor's programme Medical Engineering 2025W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 1,5 ECTS |
B2 - Bachelor's programme 2. year |
(*)Informationselektronik |
Oliver Lang |
1 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Bachelor's programme Electronics and Information Technology 2022W |
| Objectives |
Students know and understand the basics of discrete-time signals and systems qualitatively and mathematically and can apply them to fundamental problems. They are able to
- plot discrete-time signals in time- and frequency domain,
- derive the spectrum of a signal numerically with the help of the DFT and the FFT,
- describe the behavior of discrete-time LTI systems in time- and frequency domain as well as with the help of state space models,
- analyze and design digital FIR and IIR filters,
- apply the correlation operation.
Students know and understand the sampling theorem. They know and understand the z-transform, and are able to apply this method to describe discrete-time signals and systems, and to use it to solve linear difference equations with constant coefficients. They know and understand the basics of time-frequency analysis and the basics of multirate signal processing.
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| Subject |
- Discrete-time signals and the discrete time Fourier transform
- Discrete-time LTI systems
- Sampling theorem and signal reconstruction
- Correlation
- DFT and FFT
- Time-frequency analysis
- z-Transform
- Digital filters (analysis and design of FIR and IIR filters)
- State space representations of dynamic systems
- Vector- matrix representations of discrete-time signals and systems
- Basics of multirate signal processing
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| Criteria for evaluation |
Exercises at home
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| Methods |
Presentation of examples by lecturer, Matlab-exercises, exercises at home
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| Language |
German |
| Study material |
- Lecture slides
- A.V. Oppenheim, R.W. Schafer, J.R. Buck, Zeitdiskrete Signalverarbeitung, Pearson, München, 2004.
- K.D. Kammeyer, K. Kroschel, Digitale Signalverarbeitung, Vieweg + Teubner, Wiesbaden, 2009.
- D. Ch. von Grünigen, Digitale Signalverarbeitung, Hanser, München, 2008.
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| Changing subject? |
No |
| Corresponding lecture |
(*)289SISYZSSU14: UE Zeitdiskrete Signale und Systeme (1,25 ECTS)
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| On-site course |
| Maximum number of participants |
35 |
| Assignment procedure |
Assignment according to sequence |
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