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Traitement du signal – Mathématiques et Informatique 5 (MRI)

FISE MRI Semester 5 Common Core Machine translation

Signal Processing

Teaching unit Mathematics and Computer Science 5 · M05T_MIN1
10ECTS (EU)
2Coefficient
21:20Hours

Séquencement

C TD C TD C TD C TD C TD C TD C TD C TD

Learning objectives

The aim is to give students the necessary basis for the processing of analog and digital signals by studying the general properties of these signals, their packaging and their representations in time and frequency. This course ends with a set of machine sessions allowing students to apply the concepts seen in progress.

Prerequisites

ModuleTeaching unitSemester
Mathematics 1.2Basic Sciences 1S1

Mathematical analysis (Fourier series, Laplace transform, notions on Fourier transform)

Program

  • General properties of signals
  • Continuous-time signals
  • Time and frequency analysis
  • Analog filtering
  • Discreet time signals
  • Sampling theory
  • Transformed from discreet Fourier,
  • Discreet system and transformed into Z
  • Digital filtering

Assessment

Written examination Project

References

  • Cottet Francis, Signal Processing and Data Acquisition, Dunod.
  • Bellanger Maurice, Digital Signal Processing, Dunod.
  • Jacques Max, Jean-Louis Lacoume, Methods and Techniques of Signal Processing, Dunod.

Skills

4
Ref.VerbDescriptionLevel
C1_2describethe principles of signal processing2
C1_2recognizemathematical and numerical tools for signal analysis3
C2_1chooseappropriate methods to extract information from a signal3
C2_2analyzesignals2