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.
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
News
Work with us!
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.
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Epileptic seizures associated with syncope
Epilepsy and Behavior (2019) -
Improving sleep/wake classification with recurrence quantification analysis features
Biomedical Signal Processing and Control (2019) -
EEG-based seizure detection in patients with intellectual disability
Biomedical Signal Processing and Control (2019) -
Finger and forehead photoplethysmography-derived pulse-pressure variation and the benefits of baseline correction
Journal of Clinical Monitoring and Computing (2019) -
Focal application of accelerated iTBS results in global changes in graph measures
Human Brain Mapping (2019)
Contact
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Visiting address
FluxDe Groene Loper 195612 ap EindhovenNetherlands -
Postal address
Department of Electrical EngineeringP.O. Box 5135600 MB EindhovenNetherlands -
Secretarysecreesps@ tue.nl
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TeamleadJ.W.M.Bergmans@ tue.nl