All Master students graduating within SPS must take the SPS specialization track which contains the courses ‘Signal analysis and estimation’ (5XSB0) and ‘Adaptive information processing’ (5SSB0).
The breadth of topics available within SPS makes it impossible to specify a fixed set of core and elective course that all SPS students should take. Instead, core and up to 3 elective courses will be tailored to your thesis topic in consultation with your SPS supervisor.
For this reason we strongly advise you to look for an SPS supervisor early on in your master study, and agree with him/her on your core and elective courses and possibly also on a traineeship.
If you already have a topic or supervisor in mind: feel free to contact the prospective supervisor directly for further appointments. If not then you can contact Dr. Tjalling Tjalkens who is the Master coordinator for SPS and can help you find a suitable supervisor. And of course you are very welcome to visit the SPS stands in the upcoming Master Market Place, where many of our staff members will be available to help you choose.
At BIASlab we conduct research on “Intelligent Agents”, which are software programs that learn to acquire purposeful behavior (e.g., audio processing, game playing or robot navigation) through real-time interactions with their environment. Our approach combines technologies from Bayesian machine learning (artificial intelligence), systems neuroscience and signal processing. Of particular interest are agents that learn to process acoustic signals in hearables, e.g., to combat hearing loss or personalize your mp3 player settings.
The BMd lab is devoted to model-based analysis of biomedical signals, taking into account the full measurement chain. Signals of interest derive from a wide spectrum of acquisitions, ranging from MR and ultrasound imaging up to electrophysiological and photoplethysmographic recordings. The main application areas are oncology, cardiovascular, gynecology-perinatology, sleep, and neuromuscular research.
ICT Lab mission is to study information processing in a broad sense. We focus on finding fundamental limits but also on the data processing techniques (often codes) and architectures that aim at approaching these limits. Main areas of interest are source coding, channel coding, multi-user information theory, and security. We typically use information-theoretical frameworks to model the scenarios under investigation. This allows us to find out what the optimal trade-offs are. The scenarios that we study ideally result from close interaction with industry.
Intelligent lighting Systems group investigates the insights in how Human Centric Lighting can improve our well-being, our sleep, our mood, our ability to focus or to enjoy social events are rapidly growing in the scientific world. Besides illumination issues our team also investigates abilities of LEDs to transmit data.
The Video Coding and Architectures research group is part of the Signal Processing Systems department of the Eindhoven University of Technology. The research spans areas of video analysis, image/video segmentation, object-oriented and 3D video compression that underpin systems-oriented research on video coding and architectures. This work pursues state-of-the-art video functionality at high cost-efficiency (e.g. for real-time aspects and/or mobile applications), through a combination of novel algorithms and architectures.