Signals and Information

Subject description

Continuous signals:  periodic, non-periodic and random signals. Signal power and correlation between periodic signals. Signal energy and correlation between aperiodic signals.

Fourier analyses of periodic and aperiodic signals, signal spectrum. Signal power and correlation between random signals.

Signal filtering and convolution.  Sampling and reconstruction of bandlimited signals. Pulse transmission and intersymbol interference, Nyquist theorem.

Basics of information theory: events and information measure. Information sources, entropy and source coding. Communication channel model and channel capacity.

The subject is taught in programs

Objectives and competences

Learning the time and frequency signal representation relationship. Mathematical formulations are supplemented with laboratory signal measurements.

Learning about basic communication channel models.

Learning about basic limitations in source and channel coding.

Teaching and learning methods

Lectures and practical laboratory work.

Expected study results

After successful completion of the course, students should be able to:

  • describe the different types of signals,
  • link the properties of signals in time domain and frequency domain,
  • calculate the signal spectrum,
  • analyse simple linear systems,
  • find the appropriate communication channel models,
  • calculate the amount of information at source and the communication channel capacity,
  • check the utilization of the physical communication channel.

Basic sources and literature

  1. Sašo Tomažič, Osnove telekomunikacij 1, Založba FE, 2000.
  2. KOS Anton, UMEK Anton,  Osnove telekomunikacij : rešeni primeri z nalogami. 1. izd. Ljubljana: Fakulteta za elektrotehniko, 2008.

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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana

E: T:  01 4768 411