Phelma Formation 2022

Random process analysis - 4PMSSAL9

  • Number of hours

    • Lectures 12.0
    • Projects 0
    • Tutorials 6.0
    • Internship 0
    • Laboratory works 0

    ECTS

    ECTS 1.5

Goal(s)

This course focuses to theoretical description of random signals and analysis methods for their properties. This course is a fundamental basis for any advanced signal processing courses.

Contact Marion DOHEN

Content(s)

This course focuses to theoretical description of random signals and analysis methods for their properties. This course is a fundamental basis for any advanced signal processing courses.

Description and definition
Fundamental properties, correlation
Temporal average and statistical average

Stationnarity and ergodism
Power spectral density
Wiener-Kitchine's theorem
Spectral properties, spectral correlation
Filtering of random signals
Narrow band channel noise
Modulation system performance in presence of noise



Prerequisites

Having followed a course on deterministic signal processing

Test

session 1 - in person :
Written exam
Duration: 2h
1 handwritten sheet of paper authorised
calculator authorised

session 2 - in person :
Written exam
Duration: 2h
1 handwritten sheet of paper authorised
calculator authorised

session 1 - remote :
Devoir maison
rapport à rendre sous 24h

session 2 - remote :
Devoir maison
rapport à rendre sous 24h



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.

Additional Information

Curriculum->Engineering degree->Semester 7

Bibliography

Papoulis : Signal Analysis, Mc Graw-Hill, New York, 1987.