DIGT08007 2019 Digital Signal Processing 402
Full Title
Digital Signal Processing 402
Transcript Title
Digital Signal Processing 402
Code
DIGT08007
Attendance
N/A %
Subject Area
DIGT - Digital
Department
COEL - Computing & Electronic Eng
Level
08 - Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2019 - Full Academic Year 2019-20
End Term
9999 - The End of Time
Author(s)
Diane O'Brien, Sean Mullery
Programme Membership
SG_ETRON_K08 201900 Bachelor of Engineering (Honours) in Electronic and Computer Engineering
SG_EELCO_K08 202000 Bachelor of Engineering (Honours) in Electronic and Computer Engineering
Description
This Digital Signal Processing Module covers some of the more advanced DSP techniques such as Adaptive filtering, Multirate data techniques and (Image Processing techniques.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Design digital systems that properley change data sampling rate.
2.
Analyse images to determine what methods can be used to enhance the image for a human observer.
3.
Implement algorithms for finding primitive features in an image.
4.
Assess the ethical implications of image processing algorithms
5.
Communicate on experimental work in written form.
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
Adaptive Filtering fundamentals
Multi-data rate processing
Oversampling for multirate techniques
Image processing fundamentals
Grey scale transforms.
Image compression.
Edge Detection
Image interpolation.
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
30 %
End of Semester / Year Formal Exam
70 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Practical Evaluation Practical | Coursework Assessment | Written Report/Essay | 20 % | OnGoing | 1,2,3,4,5 |
| 2 | Other Exam Mid Semester Assessment | Coursework Assessment | Closed Book Exam | 10 % | Week 8 | 1,2,4 |
End of Semester / Year Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Final Exam Written Exam | Final Exam | Closed Book Exam | 70 % | 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 |
Total Full Time Average Weekly Learner Contact Time 4.00 Hours
Online Learning Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Lecture | Online | Theory Lecture | 1 | Weekly | 1.00 |
| Practical / Laboratory | Online | Online Lab | 1 | Fortnightly | 0.50 |
| Independent Learning | Not Specified | Independent Learning | 5.5 | Weekly | 5.50 |
Total Online Learning Average Weekly Learner Contact Time 1.50 Hours
Required & Recommended Book List
Recommended Reading
2001-10-18 Digital Signal Processing: A Practical Approach Prentice Hall
ISBN 9780201596199 ISBN-13 9780201596199
2001-10-18 Digital Signal Processing: A Practical Approach Prentice Hall
ISBN 9780201596199 ISBN-13 9780201596199
Provides practical coverage of the fundamentals of digital signal processing (DSP). This text also provides insight and guidance on how to use DSP techniques in order to design real engineering systems. It covers a number of DSP techniques, such as adaptive filtering and multirate processing.
Recommended Reading
2018-11-10 Digital Signal Processing: Fundamentals and Applications Academic Press
ISBN 0128150718 ISBN-13 9780128150719
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
Non ISBN Literary 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 |
Other Resources
None
Additional Information
None