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DRPS : Course Catalogue : School of Engineering : Electronics

Undergraduate Course: Signals and Communication Systems 3 (ELEE09027)

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. 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).
Entry Requirements (not applicable to Visiting Students)
Pre-requisites It is RECOMMENDED that students have passed Sensor Networks and Data Analysis 2 (ELEE08021)
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
Academic year 2023/24, 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 10, Supervised Practical/Workshop/Studio Hours 3, Feedback/Feedforward Hours 11, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 52 )
Assessment (Further Info) Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment) Written Exam: 70%
Coursework: 30%

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
Learning Outcomes
On completion of this course, the student will be able to:
  1. 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.
  2. 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.
Reading List
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

Additional Information
Graduate Attributes and Skills Not entered
KeywordsSignal Analysis,System Transfer Functions,z-transforms,Communication Systems
Course organiserDr Mehrdad Yaghoobi Vaighan
Tel: (0131 6)51 3492
Course secretaryMs Brunori Viola
Tel: (0131 6)50 5687
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