Undergraduate Course: Signal and Communication Systems 3 (ELEE09017)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This 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).
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
It is RECOMMENDED that students have passed
Signals and Communication Systems 2 (SCEE08007)
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | Course text book |
Information for Visiting Students
| Pre-requisites | Basic 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
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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 |
| Keywords | Discrete-Time Signals,Fourier analysis,Communication systems |
Contacts
| Course organiser | Dr James Hopgood
Tel: (0131 6)50 5571
Email: James.Hopgood@ed.ac.uk |
Course secretary | Mrs Lynn Hughieson
Tel: (0131 6)50 5687
Email: Lynn.Hughieson@ed.ac.uk |
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