|Module code||EDC 310|
|Faculty||Faculty of Engineering, Built Environment and Information Technology|
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.
|Prerequisites||ELI 220 GS|
|Contact time||1 practical per week, 1 tutorial per week, 3 lectures 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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