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                  | [ 289SISYSIVV20 ]                                         VL                                         Signal Processing |  
                  |  |  |  | Es ist eine neuere Version 2025W dieser LV im Curriculum Bachelor's programme Medical Engineering 2025W vorhanden. |  
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                      | Workload | Education level | Study areas | Responsible person | Hours per week | Coordinating university |  
                      | 4,5 ECTS | B2 - Bachelor's programme 2. year | (*)Informationselektronik | Mario Huemer | 3 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 | Written exam |  
                      | Methods | Lecture using slides and blackboard, Matlab based presentations |  
                      | 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 |  |  
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                      | On-site course |  
                        | Maximum number of participants | - |  
                      | Assignment procedure | Assignment according to sequence |  |  |  |