COM-202 / 8 crédits

Enseignant(s): Prandoni Paolo, Shkel Yanina Yurina

Langue: Anglais

## Summary

Signal processing theory and applications: discrete and continuous time signals; Fourier analysis, DFT, DTFT, CTFT, FFT, STFT; linear time invariant systems; filter design and adaptive filtering; sampling; interpolation and quantization; image processing, data communication and control systems.

## Required courses

Linear Algebra, Programming (Python), Analysis II

## Recommended courses

Analyse III (concurrently), Probability theory (concurrently)

## Important concepts to start the course

Vectors and vector space, functions and sequences, infinite series

## Learning Outcomes

By the end of the course, the student must be able to:

• Identify signals and signal types
• Describe properties of LTI systems
• Analyze LTI systems by spectral analysis
• Recognize signal processing problems
• Apply the correct analysis tools to specific signals
• Implement signal processing algorithms
• Design digital filters
• Interpret complex signal processing systems

## Teaching methods

This course will weave together theoretical analysis in course lectures with practical hands-on labs using Python (via Jupyter notebooks) and more traditional exercise sessions.

## Expected student activities

Study class material; complete weekly homework sets (with solutions discussed in subsequent exercise sessions) and participate in Python applied labs.

## Assessment methods

The final grade will be almost fully determined by the final exam, with a small grade component based on compilation of weekly laboratory and homework assignments.

## Supervision

 Office hours Yes Assistants Yes Forum Yes

## Dans les plans d'études

• Semestre: Automne
• Forme de l'examen: Ecrit (session d'hiver)
• Matière examinée: Signal processing
• Cours: 4 Heure(s) hebdo x 14 semaines
• Exercices: 2 Heure(s) hebdo x 14 semaines
• TP: 2 Heure(s) hebdo x 14 semaines
• Type: obligatoire
• Semestre: Automne
• Forme de l'examen: Ecrit (session d'hiver)
• Matière examinée: Signal processing
• Cours: 4 Heure(s) hebdo x 14 semaines
• Exercices: 2 Heure(s) hebdo x 14 semaines
• TP: 2 Heure(s) hebdo x 14 semaines
• Type: optionnel
• Semestre: Automne
• Forme de l'examen: Ecrit (session d'hiver)
• Matière examinée: Signal processing
• Cours: 4 Heure(s) hebdo x 14 semaines
• Exercices: 2 Heure(s) hebdo x 14 semaines
• TP: 2 Heure(s) hebdo x 14 semaines
• Type: optionnel
• Semestre: Automne
• Forme de l'examen: Ecrit (session d'hiver)
• Matière examinée: Signal processing
• Cours: 4 Heure(s) hebdo x 14 semaines
• Exercices: 2 Heure(s) hebdo x 14 semaines
• TP: 2 Heure(s) hebdo x 14 semaines
• Type: optionnel

## Semaine de référence

 Lu Ma Me Je Ve 8-9 9-10 10-11 11-12 12-13 13-14 14-15 15-16 16-17 17-18 18-19 19-20 20-21 21-22

## Cours connexes

Résultats de graphsearch.epfl.ch.