Informations générales
Number of hours
- Lectures 6
- Projects 2
ECTSECTS
1
Goal(s)
At the end of this course, students will:
- know the main existing time-frequency representations,
- understand the estimation techniques of these quantities,
- know how to realize a time-frequency analysis of a a given nonstationary signal.
Responsible(s)
Jérôme Mars
Contact details
jerome.mars@gipsa-lab.inpg.fr
Content(s)
Outline:
1. Non-parametric methods:
- Wigner-Ville and ambiguity function
- Short time Fourier Transform and spectrogram
- instantaneous amplitude and frequency
2. Parametric methods :
- Autoregressive model
- other methods(Prony, Capon, Lagunas)
3. Applications on experimental data
Prerequisites:
Basics in digital signal processing
Spectral analysis
Test
Exam (2 h) + Labwork reports (4 h)
Calendar
S1
Bibliography
* The Wigner distribution, W. Mecklembraucker and F. Hlavatsch, Elsevier, 1997
* Temps-Fréquence, P. Flandrin, Hermès, 1993
* Traitement du signal pour géoloques et géophysiciens : Volume 3, techniques avancées en traitement du signal, J. Mars et al., Editions technip, 2005
French State controlled diploma conferring a Master's degree
