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Our engineering & Master degrees
Our engineering & Master degrees

> Studies

Signal Processing - 3PMMTDS9

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  • Number of hours

    • Lectures : 14.0
    • Tutorials : 10.0
    ECTS : 2.0

Goals

Presentation of the different types of signals, the mathematical tools and the basic mathods used to study/characterize/transform those signals. This includes the characterization in the time and frequency domains, and the filtering theory.

Contact Laurent GIRIN

Content

  • Study of (analog) deterministic signals: definition, classification, correlation, Fourier transform, spectral-domain characterization, filtering, ...
  • Study of (analog) random signals: definition, statistical characterization, stationarity, correlation, spectral-domain characterization, filtering, ...
  • Introduction to the study of digital signals: sampling, discrete Fourier transform, digital filtering, ...


Prerequisites

Mathematical background: complex numbers, integral and differential calculus, probabilities and statistics, etc.

Tests

Written examination, 3h



Additional Information

Curriculum->F1A-PMP->Semester 2

Bibliography

  • F. De Coulon , Traitement du signal , Presses polytechniques romandes.
  • J. Max , J.L. Lacoume , Méthodes et techniques de traitement du signal , Masson.
  • A. Papoulis , Signal analysis , McGraw-Hill.
  • A. Papoulis , Probability, random variables and stochastic processes , McGraw-Hill.
  • B. Picinbono , Introduction à l'étude des phénomènes aléatoires , Dunod.
  • M. Kunt , Traitement numérique des signaux , Presses polytechniques romandes.
  • A.V. Oppenheim, W.S. Schaffer , Digital signal processing , Prentice Hall.

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Université Grenoble Alpes