DIGT07008 2019 Digital Signal Processing 301

General Details

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 - NFQ 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
Description

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

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 Continuous Assessment Written Report 20 % OnGoing 1,5
2 Other Exam Written Exam Continuous 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
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
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
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

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