Projects per year
Organisation profile
Organisation profile
The Institute of Signal Processing (ISP) focuses on the algorithmic-, architectural- and hardware-oriented aspects of signal processing systems. Application areas are information and communication systems, radio frequency and baseband integrated circuits, sensor signal processing as well as automotive applications. Our vision is to work on long term research projects as well as on short term topics, the latter in close cooperation with industry partners.
In teaching we are involved in the Bachelor and Master programs Electronics and Information Technologies, Mechatronics, Medical Engineering, Computer Science and Artificial Intelligence, where we are committed to giving high quality lectures and lab courses.
We are located in the JKU Science Park in Linz, Austria, which provides an excellent working environment and a perfect atmosphere for creativity and development.
Fields of science
- 202017 Embedded systems
- 202028 Microelectronics
- 202027 Mechatronics
- 102019 Machine learning
- 202015 Electronics
- 202037 Signal processing
- 202025 Power electronics
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202023 Integrated circuits
- 202034 Control engineering
- 202022 Information technology
- 202030 Communication engineering
- 202041 Computer engineering
- 202040 Transmission technology
JKU Focus areas
- Digital Transformation
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Technical Pre-Project to the Christian Doppler Laboratory for Steel Industry Signal Processing and Machine Learning
Huemer, M. (PI), Lang, O. (Co-PI), Lindenberger, J. (Researcher) & Schertler, S. (Researcher)
01.04.2025 → 31.05.2025
Project: Contract research › Industry project
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JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab)
Baumgartner, S. (Researcher), Feger, R. (Researcher), Heining, S. (Researcher), Hochreiter, S. (Researcher), Khanzadeh, R. (Researcher), Mitta, R. (Researcher), Moser, B. (Researcher), Pretl, H. (Researcher), Springer, A. (Researcher), Stelzer, A. (Researcher), Zachl, G. (Researcher) & Huemer, M. (PI)
01.01.2024 → 31.12.2026
Project: Other › Other project
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Christian Doppler Laboratory for DistributedMicrowave- and Terahertz-Systems for Sensors and Data Links
Lang, O. (Researcher) & Feger, R. (PI)
01.01.2024 → 31.12.2030
Project: Funded research › Other sponsors
Research output
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Adaptive combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation
Nezamdoust, A. & Comminiello, D., 2025, Computer Aided Systems Theory - EUROCAST 2024, Lecture Notes in Computer Science (LNCS). Springer Nature Switzerland (ed.). 8 p. (Lecture Notes in Computer Science (LNCS)).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Near Range, Leakage Aware Object Localization Based on 5G NR-Compliant JCAS
Meingassner, A., Lang, O., Tockner, M., Hofstadler, M., Lindorfer, G., Lunglmayr, M. & Huemer, M., Apr 2025, Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024). Matthews, M. B. (ed.). IEEE, p. 32-38 7 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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OFDM-Based Waveforms for Joint Sensing and Communications Robust to Frequency Selective IQ Imbalance
Lang, O., Hofbauer, C., Tockner, M., Feger, R., Wagner, T. & Huemer, M., Jan 2025, In: IEEE Transactions on Vehicular Technology. 74, 1, p. 1078-1091 14 p.Research output: Contribution to journal › Article › peer-review
Activities
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MATLAB in Signal Processing: Applications in Research and Teaching
Huemer, M. (Speaker)
23 Apr 2025Activity: Talk or presentation › Invited talk › science-to-science
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Overview of activities of the Institute of Signal Processing
Huemer, M. (Speaker)
29 Jan 2025Activity: Talk or presentation › Invited talk › science-to-public
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Evaluator for a W3-Professorship at the University of Erlangen-Nuremberg
Huemer, M. (Expert)
16 Nov 2024 → 08 Jan 2025Activity: Expert activities › Other expert activity