Students

ELEC3044 – Digital Signal Processing

2020 – Session 2, Special circumstance

Notice

As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.

To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.

General Information

Download as PDF
Unit convenor and teaching staff Unit convenor and teaching staff
Yiqing Lu
7WW Room 360
Appointment via email
Rex Di Bona
Credit points Credit points
10
Prerequisites Prerequisites
(ELEC2040 or ELEC240) or admission to MEngElecEng or MEngNetTeleEng
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit explores the processing of discrete-time signals by discrete-time systems including signal and system representations in both the time (or space) domain and the frequency domain. Specific topics covered include generation and characterisation of discrete-time signals, time-domain analysis and processing methods, linear time-invariant discrete-time systems, discrete Fourier transform and Z-transform, frequency-domain analysis and processing methods, discrete-time filtering of signals, data compression, feature extraction and pattern recognition, adaptive signal processing and machine learning, as well as basics of hardware implementation.
This unit emphasizes practice-based learning approach, where students will perform the modelling, analysis, design, and simulation that cover practical aspects of digital signal processing.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Represent and manipulate discrete-time signals in the time domain and the frequency domain.
  • ULO2: Determine the limitations and impact of sampling and sampling rate on the conversion between continuous and discrete time signals.
  • ULO3: Analyse the behaviour and determine the response of discrete-time linear systems.
  • ULO4: Analyse and design finite and infinite impulse response filters.
  • ULO5: Apply discrete-time signals and systems theory to practical problems.
  • ULO6: Use Matlab to represent and solve problems involving discrete-time signals and systems.

General Assessment Information

Grading and passing requirement for unit

In order to pass this unit a student must obtain a mark of 50 or more for the unit (i.e. obtain a passing grade P/ CR/ D/ HD). For further details about grading, please refer below in the policies and procedures section.

Late submissions

Late submissions of the DSP Project report will attract a penalty of 30% marks. Extenuating circumstances will be considered upon lodgment of an application for special consideration.

Late submissions of the Weekly Reports are not allowed.

Assessment Tasks

Name Weighting Hurdle Due
Hurdle Quiz 5% Yes 07/08/20
DSP Project 50% No 08/11/20
Weekly Report 15% No The next Tuesday after every practical
Final Examination 30% No TBA

Hurdle Quiz

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 2 hours
Due: 07/08/20
Weighting: 5%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

There will be a hurdle quiz in week 2 worth 5%. The quiz contains 5 simple questions to test the basic and prerequisite knowledge that will have been reviewed in the first week of the unit, and will take 30 minutes to complete.


On successful completion you will be able to:
  • Represent and manipulate discrete-time signals in the time domain and the frequency domain.
  • Determine the limitations and impact of sampling and sampling rate on the conversion between continuous and discrete time signals.
  • Use Matlab to represent and solve problems involving discrete-time signals and systems.

DSP Project

Assessment Type 1: Project
Indicative Time on Task 2: 50 hours
Due: 08/11/20
Weighting: 50%

MATLAB codes accompanied by a 5000-word report on design, analysis and simulation of a project in Digital Signal Processing.


On successful completion you will be able to:
  • Represent and manipulate discrete-time signals in the time domain and the frequency domain.
  • Determine the limitations and impact of sampling and sampling rate on the conversion between continuous and discrete time signals.
  • Analyse the behaviour and determine the response of discrete-time linear systems.
  • Analyse and design finite and infinite impulse response filters.
  • Apply discrete-time signals and systems theory to practical problems.
  • Use Matlab to represent and solve problems involving discrete-time signals and systems.

Weekly Report

Assessment Type 1: Lab report
Indicative Time on Task 2: 13 hours
Due: The next Tuesday after every practical
Weighting: 15%

Weekly report on practical activities.


On successful completion you will be able to:
  • Represent and manipulate discrete-time signals in the time domain and the frequency domain.
  • Determine the limitations and impact of sampling and sampling rate on the conversion between continuous and discrete time signals.
  • Analyse the behaviour and determine the response of discrete-time linear systems.
  • Analyse and design finite and infinite impulse response filters.
  • Apply discrete-time signals and systems theory to practical problems.
  • Use Matlab to represent and solve problems involving discrete-time signals and systems.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 23 hours
Due: TBA
Weighting: 30%

 

2-hour final exam

 


On successful completion you will be able to:
  • Represent and manipulate discrete-time signals in the time domain and the frequency domain.
  • Determine the limitations and impact of sampling and sampling rate on the conversion between continuous and discrete time signals.
  • Analyse the behaviour and determine the response of discrete-time linear systems.
  • Analyse and design finite and infinite impulse response filters.
  • Apply discrete-time signals and systems theory to practical problems.
  • Use Matlab to represent and solve problems involving discrete-time signals and systems.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

We will be referring to the following textbooks as we progress through the unit: 

  • “Understanding Digital Signal Processing”, Richard G. Lyons, 3rd edition (2010).
  • “The Scientist and Engineer's Guide to Digital Signal Processing”, Steven W. Smith, 2nd edition (1999).
  • “Digital Signal Processing”, John G. Proakis and Dimitris K. Manolakis, 4th edition (2007).
  • “Discrete-time signal processing”, Alan V. Oppenheim and Ronald W. Schafer, 3rd edition (2009).

MATLAB will be used for the practicals. 

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct​

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.