Digital Signal Processing (10003.2)
|Level:||Level 3 - Undergraduate Advanced Unit|
|Faculty:||Faculty of Science and Technology|
|Discipline:||Academic Program Area - Technology|
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2020 Semester 1 DR Maryam GHAHRAMANI (Ph: +61 2 62015832 ) ON-CAMPUS 2021 Semester 1 DR Maryam GHAHRAMANI (Ph: +61 2 62015832 ) ON-CAMPUS
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For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.
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- Semester 1, 2020, ON-CAMPUS, BRUCE (193349) - View
- Semester 1, 2019, ON-CAMPUS, BRUCE (185159) - View
- Semester 1, 2018, ON-CAMPUS, BRUCE (182117) - View
- Semester 1, 2017, ON-CAMPUS, BRUCE (165989) - View
- Semester 1, 2016, ON-CAMPUS, BRUCE (156088) - View
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The unit teaches the theories and practices of digital signal processing, including sampling, digital spectra analysis, digital Fourier transforms, z-transforms, digital filters, with the emphasis on their applications, especially in audio and image signal processing, by using contemporary software and hardware techniques.
On successful completion of the unit, students will be able to:
1. Explain the fundamental theories of digital signal processing;
2. Design and implement finite and infinite impulse response filters;
3. Construct low-pass, band-pass, and high-pass filters to solve signal processing problems;
4. Apply the concepts of spectrum analysis to periodic and non-periodic signals;
5. Explain Laplace transform, z-transform and discrete Fourier transform and their application in signal analysis; and
6. Develop digital signal processing systems using contemporary software and hardware techniques.
UC - Canberra, Bruce
- Semester 1, 2020
- Semester 1, 2019
- Semester 1, 2018
Up to 3 hours teaching per week.
8235 Signals and Systems.