Research output per year
Research output per year
Project Details
Description
The JKU LIT SAL embedded Signal Processing and Machine Learning lab (eSPML Lab) is chartered to perform research at the intersection of classical model based signal processing and machine learning. Several university institutes and SAL are co-operating with the goal to jointly generate ground-breaking research results.
| Status | Finished |
|---|---|
| Effective start/end date | 01.07.2020 → 31.12.2023 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Silicon Austria Labs GmbH (Project partner)
Fields of science
- 202017 Embedded systems
- 202028 Microelectronics
- 102019 Machine learning
- 202015 Electronics
- 202037 Signal processing
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202023 Integrated circuits
- 202022 Information technology
- 202030 Communication engineering
- 202041 Computer engineering
- 202040 Transmission technology
- 101019 Stochastics
- 103029 Statistical physics
- 101018 Statistics
- 202019 High frequency engineering
- 101017 Game theory
- 202018 Semiconductor electronics
- 101016 Optimisation
- 101015 Operations research
- 101014 Numerical mathematics
- 101029 Mathematical statistics
- 101028 Mathematical modelling
- 101026 Time series analysis
- 202027 Mechatronics
- 101024 Probability theory
- 202025 Power electronics
- 202034 Control engineering
- 202033 Radar technology
- 102 Computer Sciences
- 202029 Microwave engineering
- 202038 Telecommunications
- 202035 Robotics
- 102003 Image processing
- 102001 Artificial intelligence
- 102005 Computer aided design (CAD)
- 102032 Computational intelligence
- 102004 Bioinformatics
- 102013 Human-computer interaction
- 101027 Dynamical systems
- 305907 Medical statistics
- 101004 Biomathematics
- 305905 Medical informatics
- 101031 Approximation theory
- 102033 Data mining
- 305901 Computer-aided diagnosis and therapy
- 106007 Biostatistics
- 102018 Artificial neural networks
- 106005 Bioinformatics
- 202006 Computer hardware
JKU Focus areas
- Digital Transformation
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Doppler Aliasing in OFDM Radar - A Method for Reducing the ADC Sampling Frequency without Losing Range Resolution
Lang, O., Feger, R., Hofbauer, C. & Huemer, M., Apr 2024, In: IEEE Transactions on Vehicular Technology. 73, 4, p. 4842-4857 16 p.Research output: Contribution to journal › Article › peer-review
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Effects of Doppler-Division Multiplexing on OFDM Joint Sensing and Communication Systems
Lang, O., Hofbauer, C., Feger, R. & Huemer, M., 2024, In: IEEE Open Journal of Signal Processing. 5, p. 229-237 9 p.Research output: Contribution to journal › Article › peer-review
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Machine Learning Concepts for Physical Layer Receiver Processing in Wireless Communication Systems
Baumgartner, S., 2024, 211 p.Research output: Thesis › Doctoral thesis
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Tutorial: Machine Learning in the IoBNT: Exploiting the Potential of Nano-Scale Communication and Computing
Khanzadeh, R. (Speaker), Torres Gomez, J. (Speaker), Angerbauer, S. (Speaker) & Haselmayr, W. (Speaker)
05 May 2024Activity: Talk or presentation › Other talk or presentation › science-to-science
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Data-driven versus Classical Approaches for the Physical Layer
Huemer, M. (Speaker)
22 Nov 2023Activity: Talk or presentation › Invited talk › science-to-science
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Soft Interference Cancellation Inspired Neural Network Equalizers
Baumgartner, S. (Speaker)
22 Nov 2023Activity: Talk or presentation › Poster presentation › science-to-science