Signal processing

Duration

25h Th, 20h Pr

Number of credits

Lecturer

Alejandro Silhanek

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The following topics will be raised
- Special functions
- Linear filters and convolution
- Fourier transforms and applications
- Basics in probability and statistics
- Application to data reductions

Learning outcomes of the learning unit

Basics in signal processing and data reduction.

Prerequisite knowledge and skills

Basic knowledge in mathematical analysis, general physics, and crystalography

Planned learning activities and teaching methods

Data reductions of experimental signals on a computer. Statistical analysis of data on a computer. Exercices aiming to apply the concepts discussed in the theoretical course.

Mode of delivery (face-to-face ; distance-learning)

Integrated course with practical exercices.

Recommended or required readings

Delivered at the start of the course.

Assessment methods and criteria

Written and practical exam.

Work placement(s)

Organizational remarks

Contacts

Alejandro V. Silhanek
Département de Physique Université de Liège Bât. B5, R/51 Allée du 6 août, 17 B- 4000 Sart Tilman BELGIUM Tel : 04 366 36 32 Email: asilhanek@ulg.ac.be