Undergraduate Course: Signal and Communication Systems 3 (ELEE09017)
|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
|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.
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)
|| It is RECOMMENDED that students have passed
Signals and Communication Systems 2 (SCEE08007)
||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?
Course Delivery Information
|Academic year 2016/17, Available to all students (SV1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 22,
Supervised Practical/Workshop/Studio Hours 3,
Formative Assessment Hours 1,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||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.
||Hours & Minutes
|Main Exam Diet S2 (April/May)||2:00|
|Resit Exam Diet (August)||2:00|
| 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
|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
|Graduate Attributes and Skills
|Keywords||Discrete-Time Signals,Fourier analysis,Communication systems
|Course organiser||Dr James Hopgood
Tel: (0131 6)50 5571
|Course secretary||Mrs Lynn Hughieson
Tel: (0131 6)50 5687
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:04 am