I Field- Sygnals and systems

Spectral analysis of periodic and aperiodic signals.

Linear systems.

Power balances and signal to noise ratio for linear systems.

II Field- Statistic telecommunication theory

Random variables, probabilty density functions and distribution functions (both discrete and continual).

Specific distribution functions and probabilty density functions (binomial, Gauss, exponential, Laplas',...)

Autocorrelation, crosscorrelation.

III Field – Information theory

Information sources, source entropy (continual and discrete).

Statistical model of communication channel, transformation.

IV Field – Analog modulations

Amplitude modulation.

Frequency and phase modulations (and their relations).

Pulse modulations.

Power balances and signal to noise ratio for modulations mentioned above.

V Field-Digital communications

PCM (sampling, quantization, coding, compression).

Delta modulation and its variations.

Signal to noise ratios (quantization noise).

Baseband transmission (inter-symbol interference , noise, probability of error, symbol and data rates, eye diagram).

Bandpass transmission (ASK, PSK, FSK, QAM).

Receiver optimization (matched filter and correlation receiver, transversal filter).