Information transmission
D B Keogh
4 points * 24 lectures, 13 tutorials, 12 laboratory hours * Second semester * Clayton * Prerequisites: ECS2340 at PI level and MAT3910 * Corequisites: ECS3312 and MAT3920
Objectives The student is expected to acquire a knowledge and understanding of modulation theory, random processes and detection in the presence of noise in both analog and digital communication systems.
Synopsis Analog modulation: amplitude modulation - envelope-phase representation, envelope detection, spectra; double-sideband suppressed-carrier modulation - spectrum, product detection, the Costas loop; single-sideband modulation - methods of generation and detection; phase modulation and frequency modulation - generation and detection, spectra, bandwidth considerations. Signal transmission and filtering: signal distortion in transmission - linear and non-linear distortion, equalisation; standard lowpass and bandpass characteristics; pulse shaping filters. Introduction to random processes and noise: description of random processes - averages, stationarity and ergodicity, autocorrelation, power and power spectrum; shot noise and thermal noise; detection in the presence of noise. Digital transmission: baseband digital data transmission, sampling, quantisation and time-division multiplexing. Communication systems: AM and FM radio and TV signal formats; optical fibre transmission; communication system design principles.
Assessment Examination (2 hours): 90% * Laboratory work: 10%
Recommended texts
Carlson A B Communication systems 3rd edn, McGraw-Hill, 1986
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