General Data | ||||
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Academic program | Incoming Exchange Student Courses | :
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Type d'EC | Classes (LIIEXP06ESigProcess) | |||
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Status :
Obligatoire |
Period :
Semester 6_Robotique and Automation |
Education language :
English |
Learning Outcomes |
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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 |
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-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 |
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-Metrology -Computer programming -Object-oriented programming -Simulation and numerical calculation -Electronics -Digital design and embedded software |
Bibliography |
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Essential resources: None Recommended resources: Digital Processing of Signals: Theory and Practice, 3rd Edition |