OVERVIEW:
AIMS
Summary
This course introduces fundamental
concepts, algorithms and applications of digital signal processing. Starting from a description of how signals
can be represented as digital waveforms and how systems may be modelled as
digital filters, the course investigates the processing and analysis of signals
using the most common approaches and algorithms.
Structure
The course is structured into 8 'Units'
each of which covers a welldefined subtopic of digital signal processing,
from basic concepts to modern applications.
These units are presented over approximately 10 'Sessions' of class
work. Each session of class work
involves a lecture, a practical class and a homework assignment.
Assessment
MRes students:
The course is assessed partially by
coursework and partially by written examination. There is one piece of coursework, which involves the design and
implementation of a signal processing application and the explanation of how it
works. The written examination will be
taken as part of other examinations in the Spring term.
MSc students
The
course is assessed entirely by coursework.
The coursework involves the design and implementation of a signal
processing project application and the explanation of how it works.
Presentation
The course is not centred on a
mathematical description of digital signal processing but rather on algorithms. Mathematics is used to support and to explain the algorithm
rather than as an end in itself. Each
unit is presented firstly in terms of the physical concepts, using models and
graphical representations as far as possible.
Secondly, the unit is presented in terms of computer code (in a modern
programming language) which provides a basic implementation of the concepts,
supported where necessary by a mathematical description. Thirdly, the student has an opportunity to
implement a small application of the technique using a mixture of his/her own
code and the algorithm as presented.
Environment
The
digital signal processing course is supported by considerable computational
resources: a speciallyimplemented set of C++ classes for signal processing;
all algorithms online for student use; a collection of signals for analysis;
utility software for signal display, annotation and analysis. Networked computer workstations each with
graphics and sound replay provide a productive working environment. Each student will be given their own account
on the Departmental computer system and may use the computer facilities outside
class time.
Recommended Texts
Introductory:
M.L.Meade & C.R.Dillon, “Signals and
Systems: Models and Behaviour”, Chapman Hall, 1991.
Intermediate:
*P.A. Lynn, W. Fuerst, B.Thomas,
"Introductory Digital Signal Processing with Computer Applications",
John Wiley, 1997.
M.H.Hayes,
"Digital Signal Processing", Schaum's Outline Series, McGraw Hill,
1999.
Advanced:
S.J.Orfanidis,
“Introduction to Signal Processing”, Prentice Hall, 1996.
*It is strongly recommended that
all students should buy the Lynn and Fuerst book.
Session 
Units 
Lecture 
Practical 
1 
Unit 1 Unit 2 
Exercise 1 Exercise 2 

2 
Unit 3 
Exercises 3 

3, 4 
Unit 4 
Exercises 4.1 

5,6 
Unit 5 Unit 6 
Exercises 5 Coursework set 

7,8 
Unit 7 

Exercises 7.1 
9 
Unit 8 
Exercises 8.1 

10 

Review 
