Università telematica internazionale UNINETTUNO

MOOC Massive Open Online Courses (Academic Year 2018/2019)

Signal Theory

Language: English
Course description
The course provides the fundamental methodologies for the analysis and processing of both deterministic and stochastic signals.
Prerequisites
Basic knowledge of linear algebra, real and complex analysis, probability and statistics.
Program
  • Introduction.
    • Introduction
    • Signal classification
    • Basic definitions
  • Continuous-time deterministic signals and systems
    • Fourier analysis:
      • Fourier Series and properties
      • Continuous-time Fourier Transform and properties
    • Linear and time-invariant continuous-time systems:
      • Definitions and properties
      • The concept of continuous-time convolution
      • Impulse response and transfer function
      • Stability
  • Continuous-time random processes
    • Introduction and overview on random variables
    • Statistical characterization:
      • Probability density functions
      • Ensemble averages
      • Mean value, standard deviation, variance and autocorrelation
    • Wide sense stationary and cyclostationary processes
    • Linear filtering of random processes
    • Power spectral density
Professor
Professor not available
List of lessons
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum
Hazem Ahmad Munawer Al-Otum

Headquarter

Corso Vittorio Emanuele II, 39
00186 Roma - ITALIA
Tax code number: 97394340588
P.IVA: 13937651001

Certified mail

info@pec.uninettunouniversity.net

Student Secretariat

tel: +39 06 692076.70
tel: +39 06 692076.71
e-mail: info@uninettunouniversity.net

Videoconferencing

Library 1st floor: 90.147.90.157
Meeting Room 5th floor: 90.147.90.158

Do you need further information?

Give us your contact details


Ask for information