Inhalt
[ 289SISYSIVV20 ] VL Signal Processing





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 



Detailed information 
Original study plan 
Bachelor's programme Electronics and Information Technology 2022W 
Objectives 
Students know and understand the basics of discretetime signals and systems qualitatively and mathematically and can apply them to fundamental problems. They are able to
 plot discretetime 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 discretetime 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 ztransform, and are able to apply this method to describe discretetime signals and systems, and to use it to solve linear difference equations with constant coefficients. They know and understand the basics of timefrequency analysis and the basics of multirate signal processing.

Subject 
 Discretetime signals and the discrete time Fourier transform
 Discretetime LTI systems
 Sampling theorem and signal reconstruction
 Correlation
 DFT and FFT
 Timefrequency analysis
 zTransform
 Digital filters (analysis and design of FIR and IIR filters)
 State space representations of dynamic systems
 Vector matrix representations of discretetime signals and systems
 Basics of multirate signal processing

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.

Changing subject? 
No 



Onsite course 
Maximum number of participants 
 
Assignment procedure 
Assignment according to sequence 


