Department responsible for the module |
ISVR |
| Programme |
MSc Applied Digital Signal Processing  |
Timetable |
Modular |
Session |
2002-03 |
Credit Value |
12 CAT points (= 120 hours) Level |
Pre-requisites |
Recommended: Introduction to Signal Processing |
| Co-requisites |
None | |
Module Lecturers |
Dr B Rafaely
Prof SJ Elliott
Dr PR White
|
Contact |
br@isvr.soton.ac.uk | |
Formal Contact Hours |
40 hours of lectures and laboratory sessions | |
Private Study Hours |
10 hours preparation | |
Coursework |
Assignment (estimated effort 70 hours)  | |
External Examiner |
Dr R Stewart  | |
Last Approved |
  | |
Last Revision |
30/11/2002  | |
Course Web Site |
www.isvr.soton.ac.uk/Courses/MScADSP  | |
  |
  |
2. | Description |
  |
2.1 | Aims |
  |
  |
The aims of this module are to introduce the principles of real-time digital signal processing and the design of real-time DSP systems. |
|
2.2 | Objectives (teaching) |
  |
  |
- To introduce the student to the theoretical and practical basis for the analysis and design of real-time digital signal processing systems.
- To describe example analysis and design problems in real-time digital signal processing..
- To give students direct experience of the use of computer software and DSP hardware to implement DSP systems through laboratory sessions based on the TMS320 C54 DSP kit.
|
  |
2.3 | Objectives (planned learning outcomes) |
  |
  | Knowledge and understanding |
| Having successfully completed the module, you will be able to demonstrate knowledge and understanding of:
- Digital systems, including sampling, quantisation, aliasing and analogue-digital conversion.
- DSP hardware, including the TMS320 C54 DSP system..
- DSP software, including assembler, C programming and the TMS320 C54 debugging software.
- Digital filters, and application using real-time programming..
- DSP algorithms, including FFT and LMS.
- DSP system design and the factors affecting such design.
| |
  |
  | Cognitive (thinking) skills |
  |
Having successfully completed the module, you will be able to:
- Read, understand and interpret the literature relating to real-time digital signal processing.
- Recognise and select appropriate techniques for the analysis and design of real-time DSP systems.
|
  |
  | Practical, subject-specific skills |
| Having successfully completed the module, you will be able to use C programming and assembler to design DSP algorithms working in real-time on the TMS320 C54 DSP kit. | |
  |
  | Key transferable skills |
| Having successfully completed the module, you will be better able to acquire experience in a software package.  |
  |
2.4 | Teaching and Learning Activities |
  |
  | Teaching methods include |
  |
| The lectures include theory, examples, and exercises.
The laboratory sessions are based on a real-time DSP system, using a PC and a TMS320 C54 DSP processor, programming in C, and assembler.  | |
  |
  | Learning activities include |
  |
| Example problems are provided in some lectures. Students are also asked to participate in a design exercise. Students are involved in designing algorithms in C and assembler during the DSP laboratories during all afternoons.  | |
  |
2.5 | Methods of Assessment (summative assessment) |
  |
  |
  | Other library support |
  |
| The E.J. Richards Library houses a specialist collection relating to signal processing.  | |
  |
  | Staff required |
  |
| As well as the lecturer, the DSP labs require staff to set up the DSP and analogue hardware and the support of teaching assistants.  | |
  |
  | Teaching space, layout and equipment required |
  |
| A lecture room with 25 seats is required for one hour a week. The room should be equipped with overhead projection facilities, data projector, and blackboard and/or whiteboard. Use of dedicated computer room (in ISVR) or other suitable room, for the DSP labs.  | |
  |
  | Laboratory space required |
  |
|   | |
  |
  | Computer requirements |
  |
| PC's or laptops for the DSP kit systems.  | |
  |
  | Software requirements |
  |
| Provided by the DSP kit system.  | |
  |
  | Off-campus activities |
  |
| None  | |
  |
  | Part-time/distance learning students |
  |
| No special provision is made.  | |
  |
  | Other |
  |
|   | |