Digital Signal Processing (10003.2)

Please note these are the 2022 details for this unit
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Digital Signal Processing
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)
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. This unit may be cotaught with 10095 Digital Signal Processing G.

Learning outcomes

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.


Graduate attributes

1. 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


Prerequisites

8235 Signals and Systems.

Corequisites

None.

Incompatible units

10095 Digital Signal Processing G.

Equivalent units

None.

Assumed knowledge

None.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2024 Bruce, Canberra Semester 1 05 February 2024 On-Campus Dr Maryam Ghahramani
Not available

Required texts

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.

Detailed rubrics will be provided for each assessment. 


 

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.

In order to pass this unit, students need to:

1- Submit all three main assessment items:  first assessment, research paper, and final assessment.

and

2- Achieve minimum 50% of combined weighted marks of all assessment items

 and

3- Achieve Minimum 50% of the final assessment. 

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 set out in the table below. All grades are conditional upon the following minimum requirements:

Grade

All assessment

Pass

Minimum 50% of combined weighted marks of all assessment items

Credit

Minimum 65% of combined weighted marks of all assessment items

Distinction

Minimum 75% of combined weighted marks of all assessment items

High Distinction

Minimum 85% of combined weighted marks of all assessment items

The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task. 

Academic integrity

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.

Learner engagement

Expected Average Student Workload:    * denotes an assessable item

  1. Lectures:                                                                                             12 x 2h                        =24h
  2. Tutorials/Computer Labs                                                                     10x2h                          =20h
  3. Preparation (lectures, tutorials, computer labs, reading)                    12 x 3h                        =36h
  4. * Mid-semester Assessment                                                                                                    =15h
  5. * Research Paper                                                                                                                     =25h
  6. * Final Assessment                                                                                                                  =30h

Total                                                                                                                                              150 hours

                                                                                                                               150 hours

Participation requirements

To get the most out of unit, students are highly recommended to actively participate in the lectures as well as the tutorials.

Tutorial and Lab Attendance is compulsory and will count towards 5% of the total mark. 

Required IT skills

Basic Programming Skills in Matlab, Python, and use of Arduino. 

In-unit costs

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 Canvas.

Work placement, internships or practicums

None