Signal Processing Systems
Enabling the digital revolution through theories, algorithms, architectures and solutions for analyzing and interpreting signals, images, and multivariate data sets.
Making sense of signals, images and data
The Signal Processing Systems (SPS) group studies theories and techniques to extract meaningful information from signals, images, and multivariate data sets. We combine academic excellence with a strong real-world impact in biomedical instrumentation, medical image analysis, video surveillance, autonomous vehicles, digital wireless and optical communication, hearing aids, and intelligent lighting.
The SPS group has top scientists in signal and image analysis, information and communication theory, and machine learning and artificial intelligence. We also host many senior clinical and industrial experts on a part-time basis, which allows many of our students to be co-supervised by these experts.
News
Our labs
Artificial Intelligence within the SPS Group
The SPS group conducts both fundamental and application-driven research on cutting-edge Artificial Intelligence (AI) technology for signal processing systems. We also provide a broad palette of academic coursework on AI that ranges from neuroscience-inspired learning algorithms to deep learning technology and from introductory to highly specialized levels.
Our group includes more than 25 academic faculty members and about 100 PhD students with specialized expertise across a wide range of machine learning and signal processing topics. This page provides a gateway to our activities on AI for signal processing systems.
Read moreMeet some of our Researchers
Work with us!
Please check out the TU/e vacancy pages for further opportunities within our group.
If you are a student, potential sponsor or industrial partner and want to work with us, please contact the SPS group chair prof. Jan Bergmans.
Innovation
As a hub in the regional innovation ecosystem, our group collaborates intensively with industry, hospitals and other societal stakeholders, with broad impact:
- Bidirectional staff exchanges: around 20 senior experts from strategic industrial and clinical partners have part-time appointments in the group, mostly at the level of full professor. Also, several of our senior staff members serve as scientific advisor to a variety of high-tech companies. Furthermore, many of our PhD students are embedded for a significant part of their time with strategic partners.
- Joint roadmaps: we contribute structurally to joint roadmaps with industry in the framework of e.g. the Center for Wireless Technology, the Center for Care and Cure Technologies and the Eindhoven MedTech Innovation Center.
- Industrial funding: many of our PhD projects are funded partly (and in several cases fully) by industry.
- Patents: our research frequently results in patent applications, either jointly with industry or with TU/e as main applicant.
- Real-world applications: over the years, many of our research results were absorbed in industrial products and/or clinical practice.
- Start-up companies: since 2000 we have produced 11 start-up companies.
Student opportunities
All Master projects offered by the Electrical Engineering department can be found at the Master Project Marketplace. You can login to this website using your TU/e account. Or contact Svitlana Zinger or Alex Alvarado
For options within the Labs, please have a look at: BIAS Lab BM/d Lab ICT Lab Neu3CA VCA Lab
Recent Publications
Our most recent peer reviewed publications
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Shaoxiong Sun,Erik Bresch,Jens Muehlsteff,Lars Schmitt,Xi Long,Igor W.F. Paulussen,Gerrit J. Noordergraaf,Ronald M. Aarts
Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery
Biomedical Signal Processing and Control (2023) -
Boudewine W. Ossenkoppele,Ben Luijten,Deep Bera,Nico de Jong,Martin D. Verweij,Ruud J.G. van Sloun
Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning
Ultrasound in Medicine and Biology (2023) -
Zheng Peng,Gabriele Varisco,Rong-Hao Liang,Deedee Kommers,Ward Cottaar,Peter Andriessen,Carola van Pul,Xi Long
DeepLOS: Deep learning for late-onset sepsis prediction in preterm infants using heart rate variability
Smart Health (2022) -
Anouk van Diepen,Tom H.G.F. Bakkes,Ashley de Bie,Simona Turco,R. Arthur Bouwman,Pierre H. Woerlee,Massimo Mischi
A model-based approach to generating annotated pressure support waveforms
Journal of Clinical Monitoring and Computing (2022) -
Alexandra D.J. Hulsenboom,Daisy A.A. van der Woude,Martina M. Porath,Anneke Kwee,Rik Vullings,S. Guid Oei,Judith O.E.H. van Laar
Adapted ST analysis during labor
Journal of Maternal-Fetal and Neonatal Medicine (2022)
Contact
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Visiting address
FluxGroene Loper 195612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Secretary BM/d, Mobile and Perseption Systems, Neu3CA
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Secretary VCA
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Teamlead
Teamlead -
Secretary BIAS, ICT, Lighting and IoT
Secretary