Digital Communication

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 the basic principles of signal transmission in digital communications. Understanding the problems that arise when transmitting data over a non-ideal channel that introduces distortion and noise, as well as the methods for mitigating them. Learning about different ways of sharing a common transmission medium, especially in wireless communications, where the capacity of the shared medium is limited because all users share the same medium.

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.