A series of 3 lectures provides the necessary background on robust signal processing and machine learning. They are followed by two lectures on selected biomedical applications, such as, body-worn sensing of physiological parameters, electrocardiogram (ECG), photoplethysmogram (PPG), eye research and biomedical image processing.
This course is maintained via . Please register via moodle to gain access to the moodle course. TUCaN
Course Overview
Lecture Time and Room |
tba (S3|06 249) (first lecture on tba) |
Office Hours | Michael Muma: Tuesdays 9-12 a.m. (S3|06 264) |
Prerequisites | Fundamental knowledge of statistical signal processing (Digital Signal Processing) |
Language | English |
Format | Seminar course (S4). Five weeks of lectures are followed by small research tasks and student seminar presentations |
Assessment | Student presentations (60%) and oral exam (40%) |
Literature
- Zoubir, A. M. and Koivunen, V. and Ollila, E. and Muma, M.: Robust Statistics for Signal Processing. Cambridge University Press, 2018.
- Zoubir, A. M. and Koivunen, V. and Chackchoukh J, and Muma, M. Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts. IEEE Signal Proc. Mag. Vol. 29, No. 4, 2012, pp. 61-80.
- Huber, P. J. and Ronchetti, E. M.: Robust Statistics. Wiley Series in Probability and Statistics, 2009.
- Maronna, R. A. and Martin, R. D. and Yohai, V. J.: Robust Statistics: Theory and Methods. Wiley Series in Probability and Statistics, 2006.