DIGT07009 2019 Digital Signal Processing 302
This module covers the application of the Discrete Fourier Transform and z-transform, Digital Signal & System analysis and Digital Filter Design.
This module is strongly geared towards implementation of DSP techniques in software.
Learning Outcomes
On completion of this module the learner will/should be able to;
Apply the Discrete Fourier Transform to appropriate problems.
Represent Signals and Systems in the z-domain.
Design Filters using z-plane poles and zeros.
Design FIR and IIR Filters.
Communicate in written form, experiments carried out on digital data.
Teaching and Learning Strategies
The theory lectures will be split into a theory element and then problem examples that the students will attempt with the assistance of the lecturer.
The practical exercises/experiments will be carried out by the students in the laboratory or at home, they will then be assessed on their reporting of these experiments.
Module Assessment Strategies
A written mid-term assessment will be used.
Practical assignments with written report submission.
Final Written exam.
Repeat Assessments
A repeat written exam will be available during the repeat exam schedule.
Students may also be asked to re-submit reports on experimental work carried out during the year.
Indicative Syllabus
Applications of the Discrete Fourier Transform.
Windowing.
The Fast Fourier Transform.
The z-Transform.
Filter Representation in the z-domain.
z-plane poles and zeros.
Design of IIR Filters.
Coursework & Assessment Breakdown
Coursework Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Written assessment | Coursework Assessment | Closed Book Exam | 20 % | Week 8 | 1,2,3 |
2 | Written Report on Practical assignments | Coursework Assessment | Written Report/Essay | 20 % | OnGoing | 1,3,4,5 |
End of Semester / Year Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Final Exam Written Exam | Final Exam | Closed Book Exam | 60 % | End of Term | 1,2,3,4,5 |
Full Time Mode Workload
Type | Location | Description | Hours | Frequency | Avg Workload |
---|---|---|---|---|---|
Lecture | Lecture Theatre | Theory | 2 | Weekly | 2.00 |
Practical / Laboratory | Computer Laboratory | Practical | 2 | Weekly | 2.00 |
Independent Learning | Not Specified | Independent Learning | 3 | Weekly | 3.00 |
Online Learning Mode Workload
Type | Location | Description | Hours | Frequency | Avg Workload |
---|---|---|---|---|---|
Lecture | Online | Theory | 1 | Weekly | 1.00 |
Practical / Laboratory | Online | Practical | 1 | Fortnightly | 0.50 |
Independent Learning | Not Specified | Independent Learning | 5.5 | Weekly | 5.50 |
Required & Recommended Book List
2002-11-07 Digital Signal Processing: A Practical Guide for Engineers and Scientists (IDC Technology (Paperback)) Newnes
ISBN 075067444X ISBN-13 9780750674447
In addition to the coverage of DSP design and programming techniques, this work also covers the operation and usage of DSP chips. The CD-ROM includes technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software.
2018-11-10 Digital Signal Processing: Fundamentals and Applications Academic Press
ISBN 0128150718 ISBN-13 9780128150719
Digital Signal Processing : Fundamentals And Applications, 3Rd Edition by Lizhe Tan Jean Jiang, 9780128150719 , Elsevier
Module Resources
Authors |
Title |
Publishers |
Year |
Bob Meddins |
Introduction to Digital Signal Processing |
Newnes |
2000 |
Steven W. Smith |
Digital Signal Processing, A Practical Guide for Engineers and Scientists |
Newnes |
2003 |
T.J. Terrell and Lik-Kwan Shark |
Digital Signal Processing, Student Guide. |
MacMillan Press Ltd. |
1996 |
Emmanuel C. Ifeachor and Barrie W. Jervis |
Digital Signal Processing, A Practical Approach 2nd Edition |
Prentice Hall |
2002 |
John G. Proakis and Dimitris G. Manolakis |
Digital Signal Processing, Principles, Algorithms, and Applications 3rd Edition |
Prentice Hall |
1996 |
Paul A. Lynn and Wolfgang Fuerst |
Introductory Digital Signal Processing |
John Wiley & Sons |
1998 |
Vinay. K Ingle and John G. Proakis |
Digital Signal Processing, using Matlab |
Brooks/Cole |
2000 |
None
None