Number of hours
- Lectures 18.0
- Projects 0
- Tutorials 6.0
- Internship 0
- Laboratory works 0
ECTS
ECTS 2.0
Goal(s)
Acquisition of necessary background for implementing digital signal processing methods and also elementary knowledge for random signal processing.
Contact Bertrand RIVETContent(s)
Digital signal processing :
•Sampling (brief recall) theorem and quantization
•Fourier Transform of discrete signal
•Discrete convolution
•Digital filter with finite impulse response (FIR)
•Digital filters with inifinite impulse response (IIR) : first order and second order cells, stability analysis, ...
•Digital filter synthesis
Random signal analysis :
•General description, statistical properties of random signal.
•Statistical correlation.
•Stationnary signal, Wiener-Kitchine theorem
•White noise, filtering of a random signal
Prerequisites
Basis of signal processing: continuous time signal processing.
Fourier transform, signal representations, linear filtering and sampling.
Written examination : 2H
session 1 condition normale :
note de l'examen.
session 1 condition confinement :
note du devoir maison.
session 2 condition normale :
note de l'examen.
session 2 condition confinement :
note du devoir maison.
Semester 8 - This course is given in english only