Digital Communication

Course description

Basic telecommunications model. Sampling. Baseband transmission (pulse transmission, the power spectrum of a coded signal, separation direction of transmission, synchronization, optimal receiving filter, inter-symbol interference). Adaptive systems (adaptive filters, adaptive algorithms, equalizer, inter-symbol interference canceller). Modulation (amplitude modulation, frequency modulation, phase modulation, quadrature modulation, digital modulation techniques, spectral efficiency, multiple carrier modulation). Transmission channel capacity. Multiple access (random multiple access, frequency division multiple access, time division multiple access, spread spectrum, and code division multiple access, cellular networks). Coding (linear block codes, convolution codes, trellis codes, product codes). Decoding (soft and hard decision, detection and error correction, maximum likelihood and forward error correction, Viterbi algorithm).

Course is carried out on study programme

Electrical engineering 1st level

Objectives and competences

Basic telecommunications model. Sampling. Baseband transmission (pulse transmission, the power spectrum of a coded signal, separation direction of transmission, synchronization, optimal receiving filter, inter-symbol interference). Adaptive systems (adaptive filters, adaptive algorithms, equalizer, inter-symbol interference canceller). Modulation (amplitude modulation, frequency modulation, phase modulation, quadrature modulation, digital modulation techniques, spectral efficiency, multiple carrier modulation). Transmission channel capacity. Multiple access (random multiple access, frequency division multiple access, time division multiple access, spread spectrum, and code division multiple access, cellular networks). Coding (linear block codes, convolution codes, trellis codes, product codes). Decoding (soft and hard decision, detection and error correction, maximum likelihood and forward error correction, Viterbi algorithm).

Learning and teaching methods

Lectures on which the student is acquainted with the theory and lab work, where he learns how to solve some practical problems in the spirit of teamwork.

Intended learning outcomes

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

  • analyze continuous signals,
  • analyze linear timeinvariant systems,
  • evaluate modulation and demodulation methods,
  • evaluate coding and decoding methods,
  • evaluate the impact of the nonideal communication channel on communication,

design a simple digital communication system.

Reference nosilca

1. TOMAŽIČ, Sašo. Spectral efficiency. Encyclopedia of wireless and mobile communications. Boca Raton; New York: Taylor & Francis Group: Auerbach Publications, cop. 2008, vol. 2, str. 1095-1099.

2. TOMAŽIČ, Sašo. Comments on spectral efficiency of VMSK. IEEE transactions on broadcasting, 2002, vol. 48, no. 1, str. 61-62.

3. TOMAŽIČ, Sašo. Risidual noise reduction in sign algorithm. IEEE signal processing letters, 2000, vol. 7, no. 8, str. 233-234.

4. TOMAŽIČ, Sašo, ŠTULAR, Mitja. Razširjeni spekter v mobilnih komunikacijah: (1) Sistemi z raširjenim spektrom. Elektrotehniški vestnik, 1998, let. 65, št. 5, str. 303-310.

5. BERTOK, Jurij, TOMAŽIČ, Sašo. Sekvenčno dekodiranje konvolucijskih kod. Elektrotehniški vestnik, 1991, let. 58, št. 5, str. 291-301.

Study materials

  1. Tomažič, S., Osnove telekomunikacij I, Založba FE in FRI, Ljubljana 2002
  2. Tomažič, S., Digitalne komunikacije, ssPrenos digitalnih signalov, Založba FE, Ljubljana 2017.
  3. Simon Haykin, Michael, Communication Systems, 5th Edition,  John Wiley & Sons, 2009

Bodi na tekočem

Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana

E:  dekanat@fe.uni-lj.si T:  01 4768 411