• Offered by School of Engineering
  • ANU College ANU College of Engineering Computing & Cybernetics
  • Course subject Engineering
  • Areas of interest Engineering, Electronics
  • Work Integrated Learning Projects
  • Academic career PGRD
  • Course convener
    • Dr Catherine Galvin
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2024
    See Future Offerings
  • STEM Course

This course has been adjusted for remote participation in Semester 1 2021.

Digital Signal Processing (DSP) is a fundamentally essential tool for all modern technology in Electrical and Mechanical Engineering fields. DSP has penetrated many domains of applications, such as digital communications, medical imaging, audio & video systems, human-machine interaction, robotics, remote sensing, finance, autonomous vehicles, etc. The Discrete-Time Signal Processing paradigm is a convenient setting to analyse the basic principles of DSP. At the end of this course, the students should be able to understand these basic principles, and apply fundamental algorithms and methods to analyse and design discrete-time systems for modern DSP applications. While the course will focus on the study of theoretical concepts, methods and algorithms, the student will also be confronted with application and implementation issues, through various examples and assignments requiring personal computer work including processing of real-world signals.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Analyse and evaluate the properties of LTI systems in terms of its z-transforms.
  2. Understand the sampling theorem and perform sampling on continuous-time signals by applying advanced knowledge of the sampling theory (i.e., aliasing, quantisation errors, pre-filtering).
  3. Apply the concepts of all-pass and minimum-phase systems to analyse the LTI system and address complex design problems.
  4. Evaluate design problems related to frequency selective processing and design FIR/IIR filters.
  5. Construct systems for spectral estimation of real signals by applying advanced knowledge of Fourier techniques.
  6. Critically evaluate implementation aspects of modern DSP algorithms.
  7. Apply the relevant theoretical knowledge to solve a practical problem by designing, implementing and troubleshooting an appropriate DSP system (radar, image, audio, bio-medical, wireless system etc.).
  8. Investigate advanced signal processing techniques and implement complicated systems based on the course material.

Work Integrated Learning


You will undertake an individual project in this course to deal with application and implementation issues, through various examples and assignments requiring personal computer work including processing of real-world signals.

Other Information

Professional Skills Mapping:

Mapping of Learning Outcomes to Assessment and Professional Competencies

Indicative Assessment

  1. Weekly Quizzes (20) [LO 1,2,3,4]
  2. Matlab Project (35) [LO 2,4,5,6,7,8]
  3. Final Exam (45) [LO 1,2,3,4,5,6]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


Approximately 10 hours per week including self study. The contact hours include 1 x 2 hrs lecture and 1 x 1 hr lecture, plus up to 1 x 1.5 hrs tutorial per week .

Requisite and Incompatibility

Incompatible with ENGN4537

Prescribed Texts

Not applicable


Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2024 $4980
International fee paying students
Year Fee
2024 $6360
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8382 22 Jul 2024 29 Jul 2024 31 Aug 2024 25 Oct 2024 In Person View

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