Undergraduate Course: Signals and Communication Systems 3 (ELEE09027)
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 discretetime signal processing and communications. In the first half, the course considers discretetime analysis techniques, gaining insights in both timedomain 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 continuoustime signal analysis (1 hour).
2. Revision of Nyquist's Sampling Theorem, analysis of the effect of sampling on the frequency content of a signal (antialiasing), and ideal and practical signal reconstruction (1 hour).
3. Modelling discretetime systems by approximating ODEs and introducing difference equations and digital filters (1 hour).
4. Deriving the timedomain inputoutput relationships of a system including convolution (1 hour).
5. Deriving the frequencydomain inputoutput relationships using the discretetime Fourier transform (2 hours).
6. Derivation of the unilateral (one sided) Ztransform basic examples and region of convergences (1 hour).
7. The notion of linearity and the response of discretetime systems to harmonic inputs; determining the impulse response and stability of a system from a polezero diagrams (1 hour).
8. Frequency response of a discretetime linear system from its polezero 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).

Information for Visiting Students
Prerequisites  Basic signals and communications, broadly covering the material outlined in Signals and Communication Systems 2 (SCEE08007). 
High Demand Course? 
Yes 
Course Delivery Information

Academic year 2018/19, 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  
Learning Outcomes
On completion of this course, the student will be able to:
 Analyse discretetime signals and systems in both the time and frequency domain, through the use of difference equations, ztransform 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.

Reading List
Signals and Communications Systems:
Ian A. Glover and Peter M. Grant, "Digital Communications", 3rd edition, Pearson Education Limited, ISBN 9780273718307, Format: Paperback
John G.Proakis, Dimitris K Manolakis, Digital Signal Processing: Pearson New International Edition, 4/E, Pearson, ISBN10: 1292025735, ISBN13: 9781292025735, Format: Paperback

Additional Information
Graduate Attributes and Skills 
Not entered 
Keywords  Signal Analysis,System Transfer Functions,ztransforms,Communication Systems 
Contacts
Course organiser  Dr Mehrdad Yaghoobi Vaighan
Tel: (0131 6)51 3492
Email: M.YaghoobiVaighan@ed.ac.uk 
Course secretary  Mrs Laura Robinson
Tel: (0131 6)50 5053
Email: Laura.Robinson@ed.ac.uk 

