Digital Signal Processing G (10095.2)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| On-Campus
|| UC - Canberra, Bruce
|0.125||3||Faculty Of Science And Technology|
|Discipline||Study level||HECS Bands|
|Academic Program Area - Technology||Graduate Level|| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesOn successful completion of this unit, students will be able to:
1. Have an advanced understanding of the fundamentals of Digital Signal Processing;
2.Apply their understanding of discrete time signals and sampling theory;
3. Design and implement finite and infinite impulse response filters;
4. Apply low-pass, bandpass, and high-pass filters to practical, real-world problems;
5. Interpret and convert sample rates and average signals;
6. Demonstrate and apply an understanding of the concepts of spectrum analysis of periodic and non-periodic signals;
7. Demonstrate an advanced ability to analyse signals using the Laplace transform, z-transform and the discrete Fourier transform / fast Fourier transform; and
8. Programmatically apply implementations of these concepts in Matlab.
Graduate attributes1. UC graduates are professional - communicate effectively
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - take pride in their professional and personal integrity
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites10093 Signals and Systems G.
- 10003 Digital Signal Processing.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2021||UC - Canberra, Bruce||Semester 1||08 February 2021||On-Campus||Dr Maryam Ghahramani|
|2022||UC - Canberra, Bruce||Semester 1||07 February 2022||On-Campus||Dr Maryam Ghahramani|
We will not follow any text book chapter by chapter. The books mentioned below are for reference and further reading to develop a thorough understanding of the material.
Digital Signal Processing by Oppenheim, Alan V., and Ronald W. Schafer. Prentice Hall, 1975. ISBN: 9780132146357.
DSP First: A Multimedia Approach by James H. McClellan, Ronald W. Schafer, Mark A. Yoder
Signal Processing for Communications by Paolo Prandoni and Martin Vetterli
Submission of assessment items
Extensions & Late submissions
All the assessments will need to adhere to a particular format as specified on the unit's Canvas site and submitted electronically via Canvas.
Special assessment requirements
To obtain a particular grade in this unit, it is necessary that there are no outstanding submissions at the end of week 14. The unit convener reserves the right to question students orally on any of their submitted work.
All assessment items will receive a numerical mark. The final grade will be determined as a weighted average of the individual assessment items.
To be awarded a particular grade in DSP, students must meet the overall requirements, individual requirements for each assessment item, and the exam requirements set out in the table below. All grades are conditional upon the following minimum requirements:
- Minimum 50% in the finalassessment.
Minimum 50% of combined weighted marks of all assessment items
Minimum 65% of combined weighted marks of all assessment items
Minimum 75% of combined weighted marks of all assessment items
Minimum 85% of combined weighted marks of all assessment items
The unit convener reserves the right to question students orally on any of their submitted work.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Expected Average Student Workload: * denotes an assessable item
- Lectures: 12 x 2h =24h
- Tutorials / Computer labs: 12 x 1h =12h
- Preparation (lectures, tutorials, computer labs, reading) 12 x 3h =36h
- * Lab Report =20h
- * Mid-semester exam =20h
- * Research Paper =28h
- * Final Assessment =10h
Total 150 hours
To get the most out of unit, students are highly recommended to actively participate in the lectures as well the tutorials.
Required IT skills
Basic programming skills in Matlab and Office Words are necessary for this unit.
Students might consider purchasing reference textbooks which can cost $100-$400, depending upon the condition of the book (new, used) and number of reference books.
One of the reference text books is freely available on authors webpage.
Work placement, internships or practicums