Inhalt

### [ 289SISYSIVU20 ] UE Signal Processing

Versionsauswahl
(*) Unfortunately this information is not available in english. 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 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.

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
Criteria for evaluation Exercises at home
Methods Presentation of examples by lecturer, Matlab-exercises, exercises at home
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
Corresponding lecture (*)289SISYZSSU14: UE Zeitdiskrete Signale und Systeme (1,25 ECTS) On-site course
Maximum number of participants 35
Assignment procedure Assignment according to sequence