Digital communication 310

Module code EDC 310
Qualification Undergraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

Basic Signals Theory, Transform theory (Fourier, Laplace and Z-transform) and Linear Systems. Overview of stochastic processes:  Stationarity and ergodicity.  Noise and channel models. Transmission effects. Definition of information and coding of analog information sources. Shannon’s Channel Capacity Theorem.  Introduction to channel (error) detection and correction coding: Block and Convolutional coding. Maximum-likelihood sequence decoding: The Viterbi algorithm. Analysis of digital modulation techniques in AWGN. Optimal Receiver design. Nyquist and Partial-Response systems. Power Spectral Density (PSD) of random data signals. Digital Transmission through band-limited channels: ISI, Nyquist criteria and equalizers. Data communication standards and protocols.  The focus will be on applications in the computer and network environments.

Module credits 16.00
Prerequisites ELI 220 GS
Contact time 3 lectures per week, 1 tutorial per week, 1 practical per week
Language of tuition Module is presented in English
Department Electrical, Electronic and Computer Engineering
Period of presentation Semester 2

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