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DRPS : Course Catalogue : School of Engineering : Electronics

Undergraduate Course: Signal and Communication Systems 3 (ELEE09017)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course aims builds on Signals and Communication Systems 2 (SCEE08007) to introduce students to the fundamentals of discrete-time signal processing and communications. In the first half, the course considers discrete-time analysis techniques, gaining insights in both time-domain and frequency domain. Infinite duration signals are assumed. The second half course then considers baseband communications and information theory.
Course description 1. Course overview, revision of material from the signals component of the second year course Signals and Communications 2 (SCEE08007), including an overview of continuous-time signal analysis (1 hour).
2. Revision of Nyquist's Sampling Theorem, analysis of the effect of sampling on the frequency content of a signal (anti-aliasing), and ideal and practical signal reconstruction (1 hour).
3. Discrete-time signal transformations using the Discrete-time Fourier Transform (1 hour).
4. Difference equations, digital filters, and discrete-time convolution (1 hour).
5. Derivation of the unilateral (one sided) Z-transform (1 hour).
6. The notion of linearity and the response of discrete-time systems to harmonic inputs; determining the impulse response and stability of a system from a pole-zero diagrams (2 hours).
7. Frequency response of a discrete-time linear system from its pole-zero diagram (1 hour).
8. Transform analysis of linear systems and transfer functions (using Z-transforms). (2 hours).
9. Introduction to baseband communications systems in the absence of noise (4 hours).
10. Noise, power spectral densities, and probability (3 hours).
11. Basic Error Correction, including parity check bits, and simple block codes (3 hours).
Entry Requirements (not applicable to Visiting Students)
Pre-requisites It is RECOMMENDED that students have passed Signals and Communication Systems 2 (SCEE08007)
Prohibited Combinations Other requirements None
Additional Costs Course text book
Information for Visiting Students
Pre-requisitesBasic signals and communications, broadly covering the material outlined in Signals and Communication Systems 2 (SCEE08007)
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
By the end of the course, a student should be able to:
1. derive the sampling theorem, analyse the effect of sampling on the frequency content of a signal, and explain signal reconstruction
2. evaluate the Discrete-Time Fourier and Z-transforms of simple discrete-time waveforms;
3. interchange the transfer function, difference equation, and block diagram for a digital filter
4. evaluate the output of a digital filter using both discrete convolution and z-transform methods
5. sketch both the frequency response and impulse response of a digital filter from its transfer function and pole-zero plots
6. be able to analyse baseband communication systems in the absence of noise
7. discuss the concepts of noise, power spectral densities, and probability
8. recall basic error correction schemes, including parity check bits, and simple block codes
Reading List
Ian A. Glover and Peter M. Grant, "Digital Communications", 3rd edition, Pearson Education Limited, ISBN 978-0-273-71830-7, Format: Paperback

John G.Proakis, Dimitris K Manolakis, Digital Signal Processing: Pearson New International Edition, 4/E, Pearson, ISBN-10: 1292025735, ISBN-13: 9781292025735, Format: Paperback
Additional Information
Graduate Attributes and Skills Not entered
KeywordsDiscrete-Time Signals,Fourier analysis,Communication systems
Course organiserDr James Hopgood
Tel: (0131 6)50 5571
Course secretaryMrs Lynn Hughieson
Tel: (0131 6)50 5687
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