Digital Signal Processing (12065.1)
Please note these are the 2025 details for this unit
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | On-Campus |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Science And Technology |
Discipline | Study level | HECS Bands |
Academic Program Area - Technology | Level 3 - Undergraduate Advanced Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
This unit covers fundamental theories and techniques for manipulating and analysing signals in the digital domain. Students learn about signal representations, sampling, filtering, modulation, and applications in audio, image, telecommunications, and biomedical engineering. Practical skills are developed using software tools like MATLAB/Python and hardware techniques. This unit may be cotaught with 10095 Digital Signal Processing G.
1. Demonstrate an understanding of the fundamental theories of signal processing, including the properties of continuous and discrete signals, sampling theory, and analog-to-digital conversion;
2. Apply spectrum analysis techniques, such as the Laplace transform, z-transform, Fourier transform, and discrete Fourier transform, to analyse and process signals in both time and frequency domains;
3. Apply the concepts of spectrum analysis to periodic and non-periodic signals; and
4. Develop digital signal processing systems using contemporary software and hardware techniques.
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
Learning outcomes
Upon successful completion of this unit, students will be able to:1. Demonstrate an understanding of the fundamental theories of signal processing, including the properties of continuous and discrete signals, sampling theory, and analog-to-digital conversion;
2. Apply spectrum analysis techniques, such as the Laplace transform, z-transform, Fourier transform, and discrete Fourier transform, to analyse and process signals in both time and frequency domains;
3. Apply the concepts of spectrum analysis to periodic and non-periodic signals; and
4. Develop digital signal processing systems using contemporary software and hardware techniques.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
Prerequisites
10087 Engineering MathematicsCorequisites
None.Incompatible units
10095 Digital Signal Processing GEquivalent units
None.Assumed knowledge
None.
Availability for enrolment in 2025 is subject to change and may not be confirmed until closer to the teaching start date.
Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | On-Campus | Dr Maryam Ghahramani |
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit
timetable.