CODE | CCE3206 | ||||||||||||||||||||
TITLE | Digital Signal Processing | ||||||||||||||||||||
UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | ||||||||||||||||||||
MQF LEVEL | 6 | ||||||||||||||||||||
ECTS CREDITS | 5 | ||||||||||||||||||||
DEPARTMENT | Communications and Computer Engineering | ||||||||||||||||||||
DESCRIPTION | This study-unit is about discrete time signals and systems. It first characterises discrete time signals and systems and then introduces several techniques to analyse these. The unit will then show, using digital filters as an example, how to apply these techniques to design discrete time systems that operate on signals in some pre-determined fashion. Study-Unit Content: The topics covered in this study-unit include the following: - Discrete time signals and discrete linear time invariant systems: • Impulse Response; • Convolution Sum; • Analysis of linear time-invariant systems in the z-domain; • Poles and Zeros; • Causality and stability. - Discrete Fourier Transform: • Frequency domain sampling; • Properties of the DFT; • Circular convolution; • Fast Fourier Transform; • DFT for long data sequences. - Design of digital filters: • Various Designs for linear phase FIR filters; • Design of IIR filters from analogue filters; • Direct design of digital IIR filters; • Use of filter design software and filter tables. - Realisation of discrete time systems. Study-Unit Aims: By the end of this study-unit the student should be able to analyse and design digital signal processing systems. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - analyse discrete time signals and systems both in the time and frequency domains using both mathematical techniques and also using software implementations. 2. Skills: By the end of the study-unit the student will be able to: - design digital signal processing systems by filtering specific signals using both mathematical techniques and software implementations. Main Text/s and any supplementary readings: Main Texts: - J.G. Proakis & D.K. Minolakis, Digital Signal Processing (4th Edition), Prentice Hall, 2006. ISBN 978-0131873742. |
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RULES/CONDITIONS | Before TAKING THIS UNIT YOU MUST TAKE CCE2203 | ||||||||||||||||||||
ADDITIONAL NOTES | Pre-requisite Qualifications: Pure Maths A Level | ||||||||||||||||||||
STUDY-UNIT TYPE | Lecture, Independent Study, Practicum & Tutorial | ||||||||||||||||||||
METHOD OF ASSESSMENT |
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LECTURER/S | Trevor Spiteri |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |