[ 521HARDDSVV13 ] VL Digital signal processing

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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B3 - Bachelor's programme 3. year Computer Science Mario Huemer 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Computer Science 2021S
Objectives Students understand the basic mathematical methods for describing analog and discrete time signals as well as linear, time-invariant systems. Students are able to design digital filters with the help of (e.g. Matlab based) design tools. They are able to program and apply the basic digital signal processing algorithms (e.g. FFT, convolution, FIR and IIR filtering).
Subject Characterization of signals, Spectral representation of analog signals, Sampling and reconstruction, Sampling theorem, Spectral representation of discrete time signals (discrete time Fourier transform, DFT, FFT and applications), Discrete time systems, Design of digital filters (FIR, IIR), Correlation and applications, Further topics in signal processing.
Criteria for evaluation Written exam at the end of the semester.
Methods Slide presentations, examples on the blackboard as well as Matlab-demonstrations.
Language German
Study material PDF versions of the slides used in the lecture will be made available via Moodle (weekly).

Recommended reading: Daniel von Gr√ľnigen, Digitale Signalverarbeitung, 4. Auflage, Fachbuchverlag Leipzig im Carl Hanser Verlag, 2008.

Ken Steiglitz, A Digital Signal Processing Primer, Addison-Wesley Publishing Company, 1995.

Changing subject? No
Further information
Corresponding lecture (*)INBIPVOCAR2: VO Computer Architecture 2 (3 ECTS) bzw. INBIPVOARC2: VO Rechnerarchitektur 2 (3 ECTS) bzw. INBVCVOPARR: VO Parallele Rechner (3 ECTS)

bzw. INMAWKVDSVA: KV Digitale Sprachverarbeitung (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment