6 ECTS credits
150 h study time
Offer 1 with catalog number 4020546FNR for all students in the 1st semester at a (F) Master - specialised level.
Table of contents
1 Function spaces & Fourier series
2 The Fourier transform
3. The windowed Fourier transform
4 Sampling theory
5 Frames in Hilbert spaces
6 Gabor frames
7 Continuous wavelet transformation
8 Discrete wavelet transformation
9 Multi-resolution Analysis
10 Directional transformations
Study material
Slides in PDF format
Course is based on:
- Boaz Porat, Digital Processing of Random Signals – Theory and Methods, Dover Publications, NY USA, 1994.
- Christian Blatter, Wavelets: A Primer, A K Peters/CRC Press, 2002.
The student gets a modern approach of signal analysis combining functional analysis and mathematical statistics. The course entails on the one hand techniques to analyse a sampled signal form a statistical point of view and delivers the computational techniques to compute the solution and introduces on the other hand the theory of frames and wavelets to analyse signals in the time-frequency domain.
The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.
Within the Other Exam category, the following assignments need to be completed:
The exam consists of tasks and a written theory and exercise part.
Evaluation:
- assignments submitted during semester: 30%
- theory part exam: 50%
- exercise part exam: 20%
A student can only pass this course on the condition that he participates in all parts of the exam. The points on the tasks are retained if one participates in the second examination period.
This offer is part of the following study plans:
Master of Mathematics: Financial and Applied Mathematics (only offered in Dutch)
Master of Mathematics: Fundamental Mathematics (only offered in Dutch)
Master of Teaching in Science and Technology: wiskunde (120 ECTS, Etterbeek) (only offered in Dutch)