Organization profile

Introduction / mission

Enabling the digital revolution through theories, algorithms, architectures and solutions for analyzing and interpreting signals, images, and multivariate data sets.

Highlighted phrase

Making sense of signals, images and data

Organisational profile

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.

Some of our teams and projects:

The Bayesian Intelligent Autonomous Systems lab (BIASlab) is developing autonomous agents that learn from their environment and is using these agents to automate the creation of novel signal processing systems.

The Biomedical Diagnostics (BM/d) lab is developing innovative methods for model-based analysis of biomedical signals, ranging from ultrasound and magnetic resonance imaging to electrophysiology and photo-plethysmography. It collaborates with leading clinical partners in oncology, cardiovascular, gynecology-perinatology, sleep, and neuromuscular research.

The Information and Communication Theory lab (ICT Lab) studies information processing in a broad sense – data compaction and compression, modulation and error correction, and security.

The Neu3CA team studies neurodegeneration, neuromodulation and neuronal networks in the field of cognitive aging, to advance understanding of cognition and its decline in neuropsychiatric disorders like epilepsy, stroke and depression.

The Video Coding and Architectures (VCA) group does systems-oriented research on video analysis, image/video segmentation and object-oriented and 3D video compression. It pursues state-of-the-art video functionality at high cost-efficiency by combining novel algorithms and architectures.

Fingerprint Dive into the research topics where Signal Processing Systems is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Electrocardiography Engineering & Materials Science

Prostatic Neoplasms Medicine & Life Sciences

Sensors Engineering & Materials Science

Lighting Engineering & Materials Science

Ultrasonics Engineering & Materials Science

Sleep Medicine & Life Sciences

Monitoring Engineering & Materials Science

Epilepsy Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Ronald M. Aarts

r.m.aarts@tue.nl

Person: HGL : Professor

Semih Akbayrak, MSc

s.akbayrak@tue.nl

Department of Electrical Engineering, Signal Processing Systems - Doctoral Candidate
Department of Electrical Engineering, Bayesian Intelligent Autonomous Systems Lab

Person: Prom. : doctoral candidate (PhD), TOIO : PDEng-trainee

A.P. (Bert) Aldenkamp

a.p.aldenkamp@tue.nl

Person: HGL : Professor

Projects 2013 2022

5 Finished
11 Active

5G-MOBIX

van Hout, J., Tafur Monroy, I., Kurtic - Brajic, M., Kurtic - Brajic, M., Calabretta, N., Johannsen, U., Okonkwo, C., Heemstra de Groot, S. M., Dubbelman, G., Kiss, D., Rommel, S., Cimoli, B., den Ouden, J., Sanders, R., Barros Carvalho, J. & Meyer, E.

Comm. European Communities (EEG)

1/11/18 → 31/10/21

Project: Research direct

PRYSTINE: PRogrammable sYSTems for INtelligence in AutomobilEs

Sartorius - ter Haar, M., Keijzers, A., Keijzers, A., Dubbelman, G., Das, A., Tigrek, R. & Bighashdel, A.

Infineon Technologies AG

1/05/18 → 30/04/21

Project: Research direct

RESCURE: Retrofit Security for Critical infrastructures

Willems, F. M. J., Kusters, C. J. (., Keijzers, A., Keijzers, A., Willems, F. M. J., Sanders, R., Alvarado, A., Barreiro, A. & Croes, S.

Intrinsic-ID

1/02/18 → 31/01/20

Project: Research direct

Research Output 1967 2020

Deep learning approach for ECG-based automated sleep state classification in preterm infants

Werth, J., Radha, M., Andriessen, P., Aarts, R. & Long, X., 1 Feb 2020, In : Biomedical Signal Processing and Control. 56, 10 p., 101663.

Research output: Contribution to journal › Article › Academic › peer-review

Electrocardiography

Premature Infants

Sleep

Learning

Network architecture

Feasibility study of catheter segmentation in 3D Frustum Ultrasounds by DCNN

Min, L., Yang, H., Shan, C., Kolen, A. F. & de With, P., 2020, (Accepted/In press) Image-Guided Procedures, Robotic Interventions, and Modeling: Image-Guided Procedures, Robotic Interventions, and Modeling.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Catheters

Ultrasonics

Costs

Bandwidth

Imaging techniques

3 Downloads (Pure)

11,700 km transmission at 4.8 bit/4D-sym via four-dimensional geometrically-shaped polarization-ring-switching mModulation

van der Heide, S., Chen, B., van den Hout, M., Liga, G., Koonen, T., Hafermann, H., Alvarado, A. & Okonkwo, C., 1 Jul 2019, OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Piscataway: Institute of Electrical and Electronics Engineers, 3 p. 8817687

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Dense wavelength division multiplexing

Erbium doped fiber amplifiers

format

Amplification

Modulation