# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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# Undergraduate Course: Signals and Communication Systems 3 (ELEE09027)

 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. Modelling discrete-time systems by approximating ODEs and introducing difference equations and digital filters (1 hour). 4. Deriving the time-domain input-output relationships of a system including convolution (1 hour). 5. Deriving the frequency-domain input-output relationships using the discrete-time Fourier transform (2 hours). 6. Derivation of the unilateral (one sided) Z-transform basic examples and region of convergences (1 hour). 7. 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 (1 hour). 8. Frequency response of a discrete-time linear system from its pole-zero diagram (1 hour). 9. Worked examples provided online. 10. Introduction to baseband communications systems in the absence of noise (3 hours). 11. Noise, power spectral densities, and probability (2 hours). 12. Quantization, information theory and elementary principles of source coding (3 hours). 13. Basic Error Correction, including parity check bits, and simple block codes (3 hours).
 Pre-requisites Co-requisites Prohibited Combinations Students MUST NOT also be taking Electromagnetics 3: Signal Transmission (ELEE09023) AND Electromagnetics, Signals and Communications 3 (ELEE09028) Other requirements None Additional Costs Course text book.
 Pre-requisites Basic signals and communications, broadly covering the material outlined in Signals and Communication Systems 2 (SCEE08007). High Demand Course? Yes
 Academic year 2017/18, Available to all students (SV1) Quota:  None Course Start Semester 2 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 6, Supervised Practical/Workshop/Studio Hours 3, Feedback/Feedforward Hours 11, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 56 ) Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 % Additional Information (Assessment) Written Exam: 100%«br /» Coursework: 0%«br /» Practical Exam: 0%«br /» Feedback Not entered Exam Information Exam Diet Paper Name Hours & Minutes Main Exam Diet S2 (April/May) 1:30 Resit Exam Diet (August) 1:30
 On completion of this course, the student will be able to: Analyse discrete-time signals and systems in both the time and frequency domain, through the use of difference equations, z-transform theory and system response based on the system transfer function and its key characteristics.Be able to analyse baseband communiction systems in the absence of noise; discuss the concepts of noise, power spectral densities and probability; recall basic source coding and error ocrrection schemes.
 Signals and Communications Systems: 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 Not entered Keywords Signal Analysis,System Transfer Functions,z-transforms,Communication Systems
 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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