Undergraduate Course: Signal and Communication Systems 3 (ELEE09017)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Electronics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | 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. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
It is RECOMMENDED that students have passed
Signals and Communication Systems 2 (SCEE08007)
|
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) |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 2, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
13/01/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 22,
Supervised Practical/Workshop/Studio Hours 3,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
49 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | | 2:00 | | | Resit Exam Diet (August) | | 2:00 | |
Summary of Intended 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 |
Assessment Information
100% written examination
Any student who does not attend and perform satisfactorily on the Signals and Communications 3 laboratory is deemed to have failed the course, as it tests competency regarding the use of MATLAB to analyse simple signals and communications systems. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
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).
|
| Transferable skills |
Not entered |
| Reading list |
John G.Proakis, Dimitris K Manolakis, Digital Signal Processing: Pearson New International Edition, 4/E, Pearson, ISBN-10: 1292025735, ISBN-13: 9781292025735, Format: Paperback
Rodger E. Ziemer, William H. Tranter, Principles of Communications: Systems, Modulation, and Noise, 6th International student edition, John Wiley and Sons Ltd, 2009. ISBN: 9780470398784. Format: Paperback |
| Study Abroad |
Not entered |
| Study Pattern |
2 lectures per week for 10 weeks, with weekly examples classes and staggered fortnightly tutorials.
One three-hour MATLAB based laboratory. |
| 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 | Ms Tina Mcavoy
Tel: (0131 6)51 7080
Email: Tina.McAvoy@ed.ac.uk |
|
© Copyright 2013 The University of Edinburgh - 13 January 2014 4:05 am
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