DIGT07008 2019 Digital Signal Processing 301
Full Title
Digital Signal Processing 301
Transcript Title
Digital Signal Processing 301
Code
DIGT07008
Attendance
N/A %
Subject Area
DIGT - Digital
Department
COEL - Computing & Electronic Eng
Level
07 - Level 7
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_EELCO_B07 201900 Bachelor of Engineering in Engineering in Electronic and Computing
SG_ETRON_J07 201900 Bachelor of Engineering in Electronic and Computer Engineering
SG_ETRON_J07 202200 Bachelor of Engineering in Electronic and Computer Engineering
SG_EELCO_B07 202200 Bachelor of Engineering in Electronic and Computing
Description
An introductory course in Digital Signal Processing, covering the use of Statistics/Probability and Noise, ADC and DAC, Sampling Theory, Linear Systems, Convolution and the Discrete Fourier Transform.
The subject is heavily geared towards the practical implementation of DSP in software.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Use statistical methods to characterise signals and the processes that generate them
2.
Identify if a given system is linear and the techniques this allows us to perform.
3.
Perform the operation of convolution on given signals and systems.
4.
Perform a Discrete Fourier Transform on digital data.
5.
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
Introduction to DSP.
Statistics, Probability and Noise.
Analogue I/O, ADC & DAC, Sampling Theorem, Aliasing, anti-aliasing filtering.
Linear Systems,
Convolution, Impulse Response, Impulse Decomposition, Correlation.
Introduction to the Discrete Fourier Transform
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
40 %
End of Semester / Year Formal Exam
60 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Reporting on Practical exercises | Coursework Assessment | Written Report/Essay | 20 % | OnGoing | 1,5 |
| 2 | Other Exam Written Exam | Coursework Assessment | Closed Book Exam | 20 % | Week 8 | 1,2,3,5 |
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 |
| Supervision | 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 | 1 | Weekly | 1.00 |
| Supervision | Online | Practical | 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
2002-11-07 Digital Signal Processing: A Practical Guide for Engineers and Scientists (IDC Technology (Paperback)) Newnes
ISBN 075067444X ISBN-13 9780750674447
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.
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