DIGT08005 2013 Digital Signal Processing 402

General Details

Full Title
Digital Signal Processing 402
Transcript Title
Digital Signal Processing 402
Code
DIGT08005
Attendance
N/A %
Subject Area
DIGT - Digital
Department
MENG - Mech. and Electronic Eng.
Level
08 - NFQ Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2013 - Full Academic Year 2013-14
End Term
9999 - The End of Time
Author(s)
Sean Mullery
Programme Membership
SG_ETRON_K08 201300 Bachelor of Engineering (Honours) in Electronic Engineering
Description

This Digital Signal Processing Module covers some of the more advanced DSP techniques such as Adaptive filtering, Multirate data techniques and 2 Dimensional (Image Processing) techniques.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Design Adaptive Filter systems to solve appropriate problems.

2.

Analyse systems to determine how oversampling can solve anti-aliasing problems

3.

Design digital systems that properley change data sampling rate.

4.

Analyse images to determine what methods can be used to enhance the image for a human observer.

5.

Develop algorithms for finding specific features in an image.

6.

Assess the ethical implications of image processing algorithms

Teaching and Learning Strategies

It is proposed that a workplace engagement component will be introduced to this module via a guest lecturer from industry, an industrial site visit or a work-based assignment where possible.

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 Continuous Assessment UNKNOWN 20 % OnGoing 1,2,3,4,5
2 Other Exam Mid Semester Assessment Continuous Assessment UNKNOWN 10 % Week 8 1,2,3
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Written Exam Final Exam UNKNOWN 70 % End of Term 1,2,3,4,5,6
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Computer Laboratory Theory 2 Weekly 2.00
Laboratory Practical Computer Laboratory Practical 2 Weekly 2.00
Total Full Time Average Weekly Learner Contact Time 4.00 Hours

Part Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Computer Laboratory Theory 2 Weekly 2.00
Laboratory Practical Computer Laboratory Practical 2 Weekly 2.00
Total Part Time Average Weekly Learner Contact Time 4.00 Hours

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