Signals and Information

Higher education teachers: Umek Anton

Subject description

Prerequisits:

• Enrollment in the study year.
• Mathematica I and II.

Content (Syllabus outline):

Continous 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. Clasic analog filters. Sampling and reconstruction of bandlimited signals. Pulse transmittion and intersymbol interference, Nyquist theorem. Basic on information theory: events and information measure. Information sources, entropy and source coding. Communication channel model and channel capacity.

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.

Intended learning outcomes:

Knowledge of the communication signals in the time and frequency domain. Understanding the relationship between communication signals and carried information.

Learning and teaching methods:

• Lectures and
• practical laboratory work.

Study materials

Readings:

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.