EE-406 / 2 credits

Teacher: Thiran Jean-Philippe

Language: English


Summary

This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform.

Content

Signal Processing
- What is a signal: typology
- Analysis and synthesis of deterministic signals
- Projection theorem
- Fourier series
- Fourier Transform
- Sampling, quantization and reconstruction
- Discrete Fourier Transform (DFT) and Fast Fourier Transfrom (FFT)

 

Keywords

Signal processing, Fourier series, Fourier Transform, sampling, Shannon, DFT

Learning Prerequisites

Important concepts to start the course

Linear Time Invariant Systems, impulse reponse, convolution.

Teaching methods

Ex cathedra lectures, exercise and lab sessions

 

Assessment methods

Written exam

Resources

Bibliography

John G. Proakis and Dimitris G. Manolakis, «Digital Signal Processing», Prentice All, 2007

 

Ressources en bibliothèque

Moodle Link

In the programs

  • Semester: Fall
  • Exam form: During the semester (winter session)
  • Subject examined: Fundamentals of electrical circuits and systems I
  • Lecture: 1 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Fall
  • Exam form: During the semester (winter session)
  • Subject examined: Fundamentals of electrical circuits and systems I
  • Lecture: 1 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional

Reference week

Tuesday, 13h - 14h: Lecture BC02

Tuesday, 14h - 15h: Exercise, TP BC02

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