Level of education
Bachelor's degree
ECTS
5 credits
Training structure
Faculty of Science
Hours per week
42h
Description
Signal processing has become an essential science today: all measurement and information processing applications use signal processing techniques to extract the desired information. This course is designed to develop theoretical and practical concepts of signal processing at the bachelor's degree level. It reinforces and follows on from the "Signal Analysis" course at the associate degree level.
Objectives
The objective of this EU is to understand and be able to apply the basic concepts and techniques of signal processing for the analysis of analog electronic devices.
Teaching hours
- Signal Processing - CMLecture3 p.m.
- Signal Processing - Practical WorkPractical Work12 p.m.
- Signal Processing - TutorialTutorials3 p.m.
Mandatory prerequisites
EEA Level 2 signal analysis
Mathematical concepts: integrals, derivatives, complex numbers (high school math level)
Knowledge assessment
Final exam 70% + practical work 30%
Syllabus
- Reminder: TF, Dirac, Convolution
- Correlation, Spectral Energy Density, and Power Density
- Signal discretization: Discrete Fourier transform, Discrete convolution, Introduction to signal digitization
- Discrete and continuous probability: random variable, distribution function...
- Concept of random signals
- 4 three-hour practical sessions on topics such as spectral analysis, impulse response, weak signal measurement techniques, and FFT