DIGT08004 2013 Digital Signal Processing 401

General Details

Full Title
Digital Signal Processing 401
Transcript Title
Digital Signal Processing 401
Code
DIGT08004
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

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.

Represent Signals and Systems in the z-Domain

2.

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

3.

Design FIR type Filters.

4.

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

5.

Design Digital Filters via Analogue Filters using the Bilinear Transform.

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

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 UNKNOWN 10 % Week 8 1,2,3,4
2 Practical Evaluation Practical Continuous Assessment UNKNOWN 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 UNKNOWN 70 % End of Term 1,2,3,4,5
             
             

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