DIGT08006 2019 Digital Signal Processing 401

General Details

Full Title
Digital Signal Processing 401
Transcript Title
Digital Signal Processing 401
Code
DIGT08006
Attendance
N/A %
Subject Area
DIGT - Digital
Department
COEL - Computing & Electronic Eng
Level
08 - NFQ 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 Electronics SG_EELCO_K08 202000 Bachelor of Engineering (Honours) in Electronic and Computer Engineering
Description

A Digital Signal Processing Module covering the z-transform, Digital Filter design of FIR and IIR Filters and conversion of Analogue Filters to Digital Filters.

Learning Outcomes

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

1.

Use the z-transform to calculate transfer functions and outputs of systems

2.

Design FIR type Filters.

3.

Design IIR type filters by z-Plane poles and zeros.

4.

Design Digital Filters via Analogue Filters using the Bilinear Transform.

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

z-Transform.

Transfer Function T(z)

Filter Representation in the z-Domain.

z-plane Poles and Zeros.

FIR type Filters: Moving Average Filters, Windowed SINC Filters, Custom Filters, FFT Convolution.

IIR type Filters: Recursive Filters, Chebyshev Filters.

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 Other Exam Mid semester written paper Continuous Assessment Closed Book Exam 10 % Week 8 1,2,3
2 Written report on practical assignments Continuous Assessment Written Report 20 % OnGoing 1,2,3,4,5
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Written Exam Final Exam Closed Book Exam 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
Laboratory Practical 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
Laboratory Practical 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
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

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