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Principles of Digital Communication - TELE9343
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Faculty: Faculty of Engineering
 
 
School:  School of Electrical Eng and Telecommunications
 
 
Course Outline: http://www.ee.unsw.edu.au/
 
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 3
 
 
Enrolment Requirements:
 
 
None
 
 
Excluded: TELE4333
 
 
Fee Band: 2 (more info)
 
 
Further Information: See Class Timetable
 
 

Description

Principles of signal time discretisation, amplitude quantisation, A/D and D/A conversion. Matched filter receiver, principles of single symbol digital signal detection and probability of bit/symbol error. Intersymbol interference (ISI), Nyquist criteria for ISI free transmission. Equalization, linear equalizar, decision feedback equalizer. Adaptive equalization, LMS algorithm (RLS adaptive algorithm - optional). Khinchin's geometrical representation of digital signals. Communication system as a signal vector space. Application of Gram-Schmidt ortogonalization procedure in telecommunications. Modulation schemes BPSK, FSK, QPSK, MSK. Probability of bit error and spectral properties of mentioned modulations. (CDMA and spread spectrum principle - optional). Principles of Information Theory. Entropy, source coding, Shannon channel capacity for discrete and continuous channels. Channel coding theory; Block, cyclic and convolutional codes; Viterbi decoding; Trellis coded modulation. Principles of soft-input soft-output decoding algorithms, turbo codes.

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.