Page Areas:



Current Submenu:

Additional Information:

Our location on the JKU Campus

Campusplan mit Fokus auf Science Park 3

Science Park 3, 5th floor, 0525-1 ...  more of Our location on the JKU Campus (Titel)


Position Indication:

Content

Teaching

The Institute of Signal Processing offers courses mainly for the study programs Information Electronics, Mechatronics and Computer Science at both Bachelor and Master level. Almost all lectures (VL) are accompanied by problem classes (UE) in which the theoretical contents are applied in practical examples. It is highly recommended to visit these problem classes in parallel to the lecture.
For an overview of open Bachelor and Master theses at the institute click here. Regarding administrative inquiries please contact Birgit Bauer (birgit.bauer@jku.at).

Bachelor Courses

Digital Signal Processing
Winter Term, VL and UE

Digital signal processing nowadays is present in almost every consumer electronic, vehicle, industrial machinery and so on. This lecture provides an introduction into the field of digital signal processing. Besides fundamental methods, tools and algorithms for digital signal processing are acquired. Biweekly assignments accompany the lecture content.
Further information: VL, UE
KUSSS: VL, UE: group 1, group 2, group 3

 

Discrete-Time Signals and Systems
Winter Term, VL and UE

Discrete-time signals and linear systems, their representation and mathematical treatment are topic of this lecture. The audience learns how to work with discrete-time signals in the time and frequency domain. Furthermore, basics of random signals are presented at the end of the semester. Biweekly assignments and practical examples help understanding the lecture content.
Further information: VL, UE
KUSSS: VL, UE

 

Signal Processing Architectures
Winter Term, VL and PR

This lecture, which is recommended in the Bachelor’s program as well as in the Master’s program, focusses on signal processing hardware and implementations. The audience learns about the variety of hardware platforms, efficient algorithms and implementation aspects and pitfalls. In the practical course the students implement signal processing algorithms on an FPGA under constant supervision.
Further information: VL, PR
KUSSS: VL, PR

 

Information Engineering
Summer Term, KV

The goal of this lecture is to understand the basics of information processing systems. The audience learns about modulation, coding, sampling, analog and digital filter design as well as information extraction and digital information transmission. Three accompanying problem sheets aim to apply and implement the theory on practical applications.
Further information: KV
KUSSS: KV

 

Master Courses

Optimum and Adaptive Signal Processing Systems
Summer Term, VL and UE

Optimum and adaptive signal processing systems have a vast application range in communications engineering, radars, localization, speech and image processing, bio signal processing, control systems, and many others. This lecture provides an introduction into the field of optimum and adaptive signal processing, where the theory is applied and demonstrated with many practical examples. The accompanying problem classes focus on the implementation of the developed concepts and algorithms in MATLAB.
Further information: VL , UE
KUSSS: VL , UE

 

Signal Processing Architectures
Winter Term, VL and PR

This lecture, which is recommended in the Bachelor’s program as well as in the Master’s program, focusses on signal processing hardware and implementations. The audience learns about the variety of hardware platforms, efficient algorithms and implementation aspects and pitfalls. In the practical course the students implement signal processing algorithms on an FPGA under constant supervision.
Further information: VL, PR
KUSSS: VL, PR

 

Kanalcodierung (in 382.022 KV Ausgewählte Kapitel der Signal- und Informationsverarbeitung)
Summer Term, KV

This lecture provides a general overview of channel coding methods. Amongst others, the following codes will be handled: block codes, linear codes, cyclic codes, BCH- and RS- codes, convolution codes, turbo-codes, LDPC-codes, protographs, spatial coupled LDPC-codes, convolutional LDPC-codes and polar codes.
KUSSS: KV

Overview