School of Electrical Engineering & Telecommunications

Faculty of Engineering

ELEC 3104

Digital Signal Processing

Summer Session, 2014

ELEC3104: Digital Signal Processing

COURSE INTRODUCTION – Summer Session, 2014

Course Staff

Mentor/ Tutor: Dr. Karen Kua, Room G12A,

j.kua@unsw.edu.au

Course details

Credits

This is a 6 UoC course and the expected workload is 15–18 hours per week

throughout the 8 week semester.

Contact hours

The course consists of pre-recorded lecture videos provided for online download.

Contact hours are restricted to week 4 and 8 of summer session in addition to the

introductory lecture in week 1 and mid-session exam in week 5. There are 24 hours

of lab and 10 hours of tutorial in total.

The summer session officially runs over two periods, in addition to the introduction

in the first week, from 2/12/13 to 19/12/13, and from 6/01/14 to 19/02/14.

The introduction will be on the 3rd of December, 2013 from 2:00pm to 4:00 pm at

the Electrical Engineering Building in Room EE224.

For details of time and location for tutorials, laboratory and quiz refer the online

timetable: http://www.engineering.unsw.edu.au/electrical-engineering/elec3104-

summer-2014-timetable and Moodle.

Consultations: You are welcome to email the tutor or laboratory demonstrator, who

can answer your questions on this course and can also provide you with consultation

times. You are encouraged to ask questions during and after the lab and tutorial

classes.

Course Information

Context and aims

Signal Processing is the process of measuring, manipulating or analysing information.

Signals of interest include biomedical data, audio, still or moving images, radar, and

even DNA. Filtering techniques can be crucial in revealing and interpreting

information present in a signal. ELEC3104 Digital Signal Processing is an introductory

signal processing course which takes students through the steps necessary to design

and implement filters for a range of signals.

Aims

The course aims to equip students to do the following:

Deduce and understand the behaviour of a system, in terms of both its time

domain and frequency domain representations.

Identify the correct type of filter required for a given problem and be able to

demonstrate the design and implementation of a digital filter.

Explain the concept of aliasing and its effect on the design of practical

systems.

Understand multi-rate processing and multi-rate systems.

How does ELEC 3104 relate to other courses

This is a 3rd year course in the School of Electrical Engineering and

Telecommunications at the University of New South Wales. It is a core course for

students following a BE (Electrical) or (Telecommunications) program and other

combined degree programs, and an elective for Computer Engineering students.

Pre-requisites and Assumed Knowledge

The pre-requisite for this course is ELEC2134, Circuits and Signals. It is essential that

students are familiar with basic circuit theory, signal analysis and transform

methods. It is further assumed that students are familiar with the MATLAB

environment, and have good computer literacy.

Following courses

The course is a pre-requisite for all professional electives in the Signal Processing

group, including ELEC4621 Advanced Digital Signal Processing and ELEC4622

Multimedia Signal Processing

Learning outcomes

At the end of the course students should:

1. Be able to apply transform methods for the analysis of analogue and digital

linear time-invariant systems

2. Develop appropriate competency in converting between time and frequency

domain representations of signals and systems

3. Understand the practical aspects of sampling and reconstruction and be able

to select a suitable sampling rate for a given signal processing problem

4. Be able to analyse and design analogue and digital filters to match desired

specifications

5. Demonstrate an understanding of the use and applications of the Discrete

Fourier transform

6. Have gained practical experience with the implementation of digital filters

7. Be able to design and implement simple multi-rate systems

This course is designed to provide the above seven learning outcomes which arise

from targeted graduate capabilities listed in Appendix A. The targeted graduate

capabilities broadly support the UNSW and Faculty of Engineering graduate

attributes (listed in Appendix D). This course also addresses the Engineers Australia

(National Accreditation Body) Stage I competency standard as outlined in Appendix

B.

Syllabus

Processing and analysis of continuous (analogue) and discrete-time (digital)

signals.

Sampling continuous signals: the sampling theorem, reconstruction, aliasing

and the z-transform.

Analogue filters: Butterworth filters.

Filter impulse and frequency responses, stability and digital oscillators.

The Discrete Fourier Transform (DFT).

Fundamentals of the design and realisation of finite impulse response (FIR)

and infinite impulse response (IIR) digital filters.

Linear and non-linear phase filters.

Decimation, interpolation, multi-rate digital signal processing.

Teaching strategies

Delivery Mode

Lectures will not be face-to-face, but provided as pre-recorded electronic

whiteboard based videos available for online download. In addition, tutorials and

laboratories are carried out in “block-mode”, where students are required to

physically be present on campus only in weeks 4 and 8 of the summer session, in

addition to the introductory lecture in week 1 and mid-session exam in week 5.

In weeks 4 and 8, students will undertake all labs and tutorials in an intensive

fashion. You will need to watch these pre-recorded electronic whiteboard based

video lectures in your own time before the tutorial classes. Advantages of the video

lectures are:

• You will be able to watch them at your own pace

• You can revisit the lecture content as many times as you like

• Things that you might miss in a normal live lecture (e.g. difficult mathematical

concepts) are available on the video lectures and/or via the tutorial classes

The pre-recorded lectures on video provide you with an opportunity to cover

material not yet covered in class. You should look through the laboratory notes to

decide what material you need to look over.

Teaching Methods

Pre-recorded electronic whiteboard based lectures = 36 hrs (mandatory)

Tutorials = 10 hrs (mandatory)

Labs = 24 hrs (mandatory)

Tutorials include some pre-recorded videos.

The rationale behind the teaching methods for this course:

The course is structured such that the pre-recorded lectures provide details

of course material so that you can understand each concept presented and

re-visit any difficult sections in detail.

The tutorials help to develop the required level of analytical skills that will be

used in this course.

Your mid-semester exam and the final exam will test your problem solving

skills and give you the opportunity to effectively communicate and

demonstrate your understanding of the principles in the course.

The laboratory classes are to ground the analytical subject material in a real-

world problem, where the skills and knowledge you learn throughout the

course will be applied in real engineering design work.

The lab exam will test your experimental skills learned in laboratory classes.

Learning in this course

You are expected to view all lectures, attends all tutorials, labs, and mid-semester

exams in order to maximise learning. You must prepare well for your laboratory

classes and your lab work will be assessed. In addition to the lecture notes/video,

you should read relevant sections of the recommended text. Reading additional text

would further enhance your learning experience. Group learning is also encouraged.

Tutorial classes

You should do all your problem sheet questions in advance of attending the tutorial

classes. Group learning is encouraged. Answers for these questions will not be

posted on the web, but will be discussed during the tutorial class and the tutor will

cover the more complex questions in the tutorial class.

In addition, during the tutorial class, 1-2 new questions that are not in your notes

will be provided by the tutor, for you to try in class. These questions and solutions

will not be made available on the web, so it is worthwhile for you to attend your

tutorial classes to gain maximum benefit from this course.

Laboratory program

The laboratory program is the centre of this course. Through the laboratory

component, you will progressively encounter the elements of the syllabus. The aim

of the laboratory component is to ground the analytical subject material in a real-

world problem, where the skills and knowledge you learn throughout the course will

be applied in real engineering design work. Throughout the semester, you will focus

on:

Sampling and reconstruction

Impulse and frequency response of systems

Description of filter types using poles and zeroes

Digital filter design including the use of DSP chip

Frequency domain analysis

Multi-rate processing

Students will be divided into 2 groups, A and B in Week 3. Please check your group

allocation on the course webpage (http://subjects.ee.unsw.edu.au/elec3104)

BEFORE your lab.

Laboratory Exemption

There is no laboratory exemption for this course. Regardless of whether equivalent

labs have been completed in previous courses, all students enrolled in this course for

Summer Session, 2014 must take the labs.

If, for medical reasons, (note that a valid medical certificate must be provided) you

are unable to attend a lab, you will need to apply for a catch-up lab during another

lab time, as agreed by the laboratory co-ordinator.

Assessment

The assessment scheme in this course reflects the intention to assess your learning

progress through the semester. Ongoing assessment occurs through the lab

checkpoints (see lab manual), lab exams and the mid-semester exam.

Mid-Semester Exam = 15%

Ongoing Lab Assessment and Lab Exams = 25%

Final Exam (3 hours) = 60%

Mid-Semester Examinations (15% total)

There will be one mid-semester examination, testing your understanding of the

principles and your analytical skills through a number of set problems.

Mid-Semester Exam: 15th January, 2014

Location of the exam will be confirmed prior to the exam

Covers lecture material from Chapters 1 to 6

If for medical reasons (note that a valid medical certificate must be provided), you

are unable to attend the mid-semester exam, you will be given an oral examination

of approximately 1 hour.

Laboratory Assessment (25%)

Throughout the semester, your progress in the laboratory will be assessed by your

lab tutor at a series of checkpoints (see lab manual) in every lab session, and also

through separate lab exams. You must pass the ongoing laboratory assessment

(check points) and lab exams to pass the course.

Ongoing Lab Assessment (Checkpoints):

At the checkpoints, you will present your work to your tutor, solve analytical

problems, write MATLAB code, explain the relevant concepts, and answer

questions on your labs. Marks will be assigned according to the broad criteria

explained in the laboratory notes. Feedback will be provided along with the

marks.

Laboratory Exams:

Laboratory Exams are closed book practical exams that include MATLAB coding

and analytical calculations. These exam questions will be based on what you have

learned in your laboratory classes and lectures. Each exam will be marked out of

10 and the marks will be released on Moodle.

Final Exam (60%)

There will be one final examination, testing your understanding of the principles and

your analytical skills through a number of set problems. If for medical reasons, (note

that a valid medical certificate must be provided to the university) you are unable to

attend the final exam, you will be given another exam (either oral or written, at the

discretion of the course convenor). You must pass this final exam to pass the

course.

The final exam will be 3 hours long

The final exam will cover all 9 chapters covered in the semester

University approved calculators are allowed.

Resources for Students

Textbooks

Prescribed textbook

S. K. Mitra, Digital Signal Processing, McGraw-Hill, 2011. This book is available

at the UNSW bookshop.

Reference books

J. Proakis & D. Manolakis, Digital Signal Processing, Prentice-Hall, 2007.

A. V. Oppenheim, R. W. Schafer, & P. Buck, Discrete-Time Signal Processing,

Prentice-Hall, 2010.

On-line resources

Moodle: As a part of the teaching component, Moodle will also be used. Mid-

semester examination results and lab marks will also be available via Moodle.

Course web page: http://subjects.ee.unsw.edu.au/elec3104

Mailing list

Announcements concerning course information will be given in the lectures,

via the course website http://subjects.ee.unsw.edu.au/elec3104 and/or on

Moodle.

Other matters

Academic Honesty and Plagiarism

Plagiarism is the unacknowledged use of other peoples work, including the copying

of assignment works and laboratory results from other students. Plagiarism is

considered a serious offence by the University and severe penalties may apply:

http://www.lc.unsw.edu.au/plagiarism

Continual Course Improvement

Students are advised that the course is under constant revision in order to improve

the learning outcomes of its students. Please forward any feedback (positive or

negative) on the course to the course convener or via the Course and Teaching

Evaluation and Improvement Process. You can also provide feedback to ELSOC who

will raise your concerns at student focus group meetings.

Administrative Matters

On issues and procedures regarding such matters as special needs, equity and

diversity, occupational health and safety, enrolment, rights, and general

expectations of students, please refer to the School policies:

http://scoff.ee.unsw.edu.au

Important Points Please note the following:

During your labs, 1-2 lab demonstrators will be present and will be able to guide

you in your laboratory-based learning.

You can get the lecture notes (hard copy) which contains the course outline,

MATLAB exercises, tutorial problem sheets, a sample mid-semester exam, a

sample final exam paper, references and a laboratory manual along with lecture

notes from the School Office.

A soft copy of both the lecture notes and the tutorial questions workbook is

available on the course website: http://subjects.ee.unsw.edu.au/elec3104

The pre-recorded lecture videos can be downloaded from:

http://eemedia.ee.unsw.edu.au/ELEC3104/index.htm. For any problems with

download etc, please contact the course convenor, Dr. Karen Kua on

j.kua@unsw.edu.au

Guidelines on learning that inform teaching at UNSW are available at

www.guidelinesonlearning.unsw.edu.au

Course Schedule

Week Topic

1-4

Chapter 1: Signals and Systems

Chapter 2: Digital Signal Processing Fundamentals

Chapter 3: Discrete-Time Systems

Chapter 4: Introduction to z-Transform

Chapter 5: Introduction to Digital Filters

Chapter 6: Discrete-Time Fourier Transform

5 Mid-semester Exam (Chapters 1-6): 15th January 2014

5-8 Chapter 7: Analogue Filter Design

Chapter 8: Digital Filter Design

Chapter 9: Multirate Digital Signal Processing

Final Exam (all chapters) during the week 14th to 19th Feb, 2014

Laboratory Schedule

Week, Day Group Suggested Lab work Required

Reading

4, Tue A Lab 1 - Introduction to TIMS and MATLAB

Matlab Exercises,

Chapters 1 &2 4, Wed B

4, Tue A Lab 2 - Sampling and Reconstruction Chapters 1 &2

4, Wed B

4, Fri A and B Lab Exam 1 Chapters 1 &2

4, Fri A and B Lab 3 - Impulse Response, Frequency

Response, and Poles/Zeros of Systems Chapters 1 to 5

8, Wed A and B Lab Exam 2 Chapters 1 to 5

8, Wed A and B Lab 4 - Digital Filters Chapters 1 to 8

8, Fri A and B Lab 5 Interpolation and Decimation Chapters 1 to 9

8, Fri A and B Lab Exam 3 Chapters 1 to 9

Appendix A: Targeted Graduate Capabilities The Electrical Engineering and Telecommunications programmes are designed to address the

following targeted capabilities which were developed by the school in conjunction with the

requirements of professional and industry bodies:

The ability to apply knowledge of basic science and fundamental technologies;

The skills to communicate effectively, not only with engineers but also with the wider

community;

The capability to undertake challenging analysis and design problems and find optimal solutions;

Expertise in decomposing a problem into its constituent parts, and in defining the scope of each

part;

A working knowledge of how to locate required information and use information resources to

their maximum advantage;

Proficiency in developing and implementing project plans, investigating alternative solutions, and

critically evaluating differing strategies;

An understanding of the social, cultural and global responsibilities of the professional engineer;

The ability to work effectively as an individual or in a team;

An understanding of professional and ethical responsibilities;

The ability to engage in lifelong independent and reflective learning.

Appendix B: Engineers Australia (EA) Stage 1 Competency standard

Program Intended Learning Outcomes ELEC3104

PE1

: K

no

wle

dge

Bas

e

PE1.1 Knowledge of Science and Engineering Fundamentals

PE1.2 In-depth technical competence in at least one eng discipline

PE1.3 Techniques and resources

PE1.4 General Knowledge

PE2

: En

gin

eeri

ng

Ab

ility

PE2.1 Ability to undertake problem identification, formulation, and solution

PE2.2 Understanding of social, cultural, global and environmental responsibilities and the need

to employ principles of sustainable development

PE2.3 Ability to utilise a systems approach to complex problems and to design and operational

performance

PE2.4 Proficiency in engineering design

PE2.5 Ability to conduct an engineering project

PE2.6 Understanding of the business environment

P E 3: P r of e ss io n al

A tt ri b u te s PE3.1 Ability to communicate effectively, with the engineering team and with the community at

large

PE3.2 Ability to manage information and documentation

PE3.3 Capacity for creativity and innovation

PE3.4 Understanding of professional and ethical responsibilities, and commitment to them

PE3.5 Ability to function effectively as an individual and in multidisciplinary and multicultural

teams, as a team leader or manager as well as an effective team member

PE3.6 Capacity for lifelong learning and professional development

PE3.7 Professional Attitudes

Appendix C: Assessment methods linked to learning outcomes Learning outcomes

Assessment 1 2 3 4 5 6 7

Mid-semester examination (15 %) - - -

Lab assessment & exams (25%)

Final examination (60%) -

Learning outcomes:

1. Be able to apply transform methods to the analysis of analogue and digital linear time-

invariant systems

2. Develop the appropriate competency in converting between time and frequency domain

representations of signals and systems

3. Understand the practical aspects of sampling and reconstruction and be able to select a

suitable sampling rate for a given signal processing problem

4. Design and analyse analogue and digital filters for a given specification

5. Demonstrate an understanding of the use and applications of the Discrete Fourier transform

6. Have gained practical experience with the implementation of digital filters

7. Be able to implement a simple multi-rate system

Appendix D: Graduate Attributes The course delivery methods and course content address a number of core UNSW

graduate attributes, as follows:

Analytical skills, critical thinking and creative problem solving will be

developed by the laboratory experiments and interactive checkpoint

assessments and lab exams during the labs.

Self-assessment of independent and reflective learning is made available

through a series of tutorials spanning the duration of the course together

with the video-based learning material. The laboratory program fosters

independent learning.

Demonstration of the understanding of principles, and the effective use and

communication of relevant information will be tested in depth, via the mid-

semester examination and the final examination.