ECS3341

Information transmission

D B Keogh

4 points · 24 lectures, 13 tutorials and 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

Back to the 1999 Engineering Handbook