Incoming Exchange Student Courses
General Data
Academic program Incoming Exchange Student Courses :
Type d'EC Classes (LIIEXP06ESigProcess)
Lectures : 12h00
Tutorials : 12h00
Lab Work : 8h00
Total duration : 56h00
Status :
Obligatoire
Period :
Semester 6_Robotique and Automation
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
-Metrology
-Computer programming
-Object-oriented programming
-Simulation and numerical calculation
-Electronics
-Digital design and embedded software
Bibliography
Essential resources: None
Recommended resources:
Digital Processing of Signals: Theory and Practice, 3rd Edition