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Spectral analysis - 4PMSASP9

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  • Number of hours

    • Lectures : 14.0
    • Tutorials : 4.0
    • Laboratory works : 0
    • Projects : 0
    • Internship : 0
    ECTS : 1.5

Goals

This course is intended for engineering students in order to offer both a theoretical basis and technical tools of spectral analysis for random signals. This course constitutes a basis for many applications in communications and digital signal processing.

Contact Gang FENG

Content

This course is intended for engineering students in order to offer both a theoretical basis and technical tools of spectral analysis for random signals. This course constitutes a basis for many applications in communications and digital signal processing.

  • Basic notion of the estimation theory
  • Maximum likelihood estimation
  • Spectral properties of random signals
  • Mean value estimation and correlation estimation
  • Power spectral density estimation
  • Non-parametric methods (correlogram and periodogram)
  • Parametric methods for spectral estimation (AR model)


Prerequisites

Tests

Final exam 2h



Additional Information

Curriculum->Master TSI SIGMA->Semester 8
Curriculum->SICOM->Semester 8
Curriculum->Master->Semester 8

Bibliography

L. Mapple Jr : Digital spectral analysis with applications. Prentice-Hall Inc., New-Jersey, 1987.

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Date of update March 18, 2019

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes