Undergraduate Course: Signal and Communication Systems 3 (ELEE09017)
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. Discretetime signal transformations using the Discretetime Fourier Transform (1 hour).
4. Difference equations, digital filters, and discretetime convolution (1 hour).
5. Derivation of the unilateral (one sided) Ztransform (1 hour).
6. 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 (2 hours).
7. Frequency response of a discretetime linear system from its polezero diagram (1 hour).
8. Transform analysis of linear systems and transfer functions (using Ztransforms). (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)
Prerequisites 
It is RECOMMENDED that students have passed
Signals and Communication Systems 2 (SCEE08007)

Corequisites  
Prohibited Combinations  
Other requirements  None 
Additional Costs  Course text book 
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 2016/17, Available to all students (SV1)

Quota: None 
Course Start 
Semester 2 
Course Start Date 
16/01/2017 
Timetable 
Timetable 
Learning and Teaching activities (Further Info) 
Total Hours:
100
(
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
48 )

Assessment (Further Info) 
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %

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. 
Feedback 
Not entered 
Exam Information 
Exam Diet 
Paper Name 
Hours & Minutes 

Main Exam Diet S2 (April/May)   2:00   Resit Exam Diet (August)   2:00  
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 DiscreteTime Fourier and Ztransforms of simple discretetime 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 ztransform methods
5. sketch both the frequency response and impulse response of a digital filter from its transfer function and polezero 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

Reading List
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  DiscreteTime Signals,Fourier analysis,Communication systems 
Contacts
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 

