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 |
Programmes | |
Prerequisites | ELI 220 GS |
Contact time | 1 tutorial per week, 1 practical per week, 3 lectures per week |
Language of tuition | Separate classes for Afrikaans and English |
Academic organisation | Electrical, Electronic and Com |
Period of presentation | Semester 2 |
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