DIGT07002 2013 Digital Signal Processing 301

General Details

Full Title
Digital Signal Processing 301
Transcript Title
Digital Signal Processing 301
Code
DIGT07002
Attendance
N/A %
Subject Area
DIGT - Digital
Department
MENG - Mech. and Electronic Eng.
Level
07 - NFQ Level 7
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_J07 201800 Bachelor of Engineering in Engineering in Electronic Engineering SG_ETRON_B07 201600 Bachelor of Engineering in Electronic Engineering SG_EELCO_B07 201700 Bachelor of Engineering in Electronic and Computer Engineering SG_EELCO_B07 201800 Bachelor of Engineering in Electronic and Computer Engineering
Description

An introductory course in Digital Signal Processing, covering the use of Statistics/Probablity & Noise, ADC & 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.

Configure analogue to digital interfaces to correctly transfer the required information between the two domains.

3.

Design analogue to digital interfaces to correctly transfer the required information between the two domains.

4.

Identify if a given system is linear and the techniques this allows us to perform.

5.

Perform the operation of convolution on given signals and systems.

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

Introduction to DSP.

Statistics, Probability and Noise.

Analogue I/O, ADC & DAC, Sampling Theorem, Aliasing, anti-aliasing filtering.

Linear Systems, 

Convolution, Impulse Response, Impluse 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 Practical Evaluation Computer Programming practical Exercises Continuous Assessment UNKNOWN 20 % OnGoing 1,5
2 Other Exam Written Exam Continuous Assessment UNKNOWN 20 % Week 8 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 60 % 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
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
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