General Data | ||||
---|---|---|---|---|
Academic program | Formation ECAM LaSalle Ingénieur spécialité Mécanique et Génie Electrique (ENGINEERING PROGRAM) | :
|
||
Type d'EC | Classes (LIIEEng06ESigProcess) | |||
|
Status :
|
Period :
Semester 6 |
Education language :
English |
Learning Outcomes |
---|
By the end of this course, students will be able to: 1. Acquire the fundamentals features of signal 2. Perform a spectral analysis of a signal 3. Estimate the filter coefficients from filtering specifications 4. Analyze the stability of filters 5. Analyze random signals with temporal and spectral methods 6. Apply and analyse time-frequency to any signal 7. Learn image processing techniques and apply them 8. Develop good programming practices (documentation, test, git/gitflow) |
Content |
---|
-Signals: general properties and transformations (convolution…) -Spectral analysis (DFT, FFT…) -Sampling -Signals and systems (stability, causality…) -Filters (FIR, IIR) -Random signals (autocorrelation, intercorrelation…) -Time-frequency analysis -Image processing |
Pre-requisites / co-requisites |
---|
-Mathematics for engineers 1 -Mathematics for engineers 2 -Mathematics for engineers 3 -Mathematics for engineers 4 -Mathematics for engineers 5 -Metrology -Computer programming -Object-oriented programming -Simulation and numerical calculation 1 -Simulation and numerical calculation 2 -Electronics 1 – Components and technology -Electronics 2 – Functions and applications -Digital design and embedded software 1 -Digital design and embedded software 2 |
Bibliography |
---|
Essential resources: None Recommended resources: Digital Processing of Signals: Theory and Practice, 3rd Edition |
Assessment(s) | |||
---|---|---|---|
N° | Nature | Coefficient | Observable objectives |
1 | Observable objectives: mid-term exam in which students will be evaluated on their ability to analyze unknow signals and systems by applying temporal or spectral techniques. | 0,3 | 1, 2, 3, 4, 5, 6, 7 |
2 | Observable objectives: labs in which students will be evaluated on their ability to define and implement signal/image processing techniques to analyze unknown signals using good coding practices. | 0,3 | 1, 2, 3, 4, 5, 6, 7, 8 |
3 | Observable objectives: final exam in which students will be evaluated on their ability to analyze unknow signals, images and systems by applying temporal or spectral techniques. | 0,4 | Written exam |