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Handbook 1997 : Faculty of Engineering : School of Electrical Engineering and Computer Science

431-302 Communications 3

Credit Points:

7.1

Prerequisite/s:

431-221 Fundamentals of Signals and Systems, 619-005 Probability for Electrical Engineers

Timetable:

Semester 2

Contact:

26 hours of lectures and 13 hours of tutorials and project work

Objectives:

On completion of this subject students should:

  • understand techniques for the digital coding of analogue waveforms;

  • understand the causes of, and cures for, interference in digital transmission;

  • understand the effects of noise in analogue and digital communication systems;

  • possess a basic skill in carrying out noise and signal analysis for communication system design.

Content:

Principles of digital communications: Digital pulse modulation. Pulse-code modulation. Sampling. Quantisation. Coding. Regeneration. Differential pulse-code modulation. Intersymbol interference. Correlative coding. Eye pattern. Digital modulation techniques. Noise and signals: Random processes. Transmission of random processes. Power spectral density. Cross-correlation functions. Gaussian process. Narrow-band random process. Envelope and phase functions. Noise in AM receivers. Noise in FM receivers. Threshold effect. Pre-emphasis and de-emphasis. Maximisation of output signal-to-noise ratio. Matched filters. Probability of transmission errors.

Assessment:

A two-hour examination; practice classes, tests, assignments and project reports, not exceeding 20 pages.
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Handbook 1997 : Faculty of Engineering : School of Electrical Engineering and Computer Science 
Status:                   OFFICIAL 1997
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Copyright © University of Melbourne 1997.