ELEC ENG 7079 - Principles of Signal Processing
North Terrace Campus - Semester 1 - 2016
The course information on this page is being finalised for 2016. Please check again before classes commence.
General Course Information
Course Code ELEC ENG 7079 Course Principles of Signal Processing Coordinating Unit School of Electrical & Electronic Engineering Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Incompatible ELEC ENG 3033 Assumed Knowledge ELEC ENG 2007, MATHS 2201, MATHS 2202 or equivalent Course Description Discrete time (DT) signals; DT Linear Shift Invariant (LSI) systems; Fourier transforms; Fourier analysis for discrete time systems: DT Fourier series, DT Fourier transform, discrete Fourier transform, spectral leakage, frequency resolution, non-parametric spectral estimation. Digital filtering principles; Digital filter design; Statistical signal processing fundamentals; Practical signal processing skills in MATLAB; Applications example of digital signal processing: digital radio techniques, image compression.
Course Coordinator: Associate Professor Brian NgCourse Co-ordinator & lecturer: Dr. Brian Ng
Office: Ingkarni Wardli 3.35
Phone: 8313 5054
Lecturer: Assoc.Prof. Mathias Baumert
Office: Ingkarni Wardli 3.31
Phone: 8313 1616
Administrative Enquiries: Office of the School of Electrical & Electronic Engineering, Room 3.26, Level 3, Ingkarni Wardli
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesAt the end of the course, students should be able to:
1. describe the process of sampling mathematically and its limitations
2. use and manipulate representations of discrete-time signals in both the time and frequency domains
3. describe and confidently work with discrete-time, linear shift-invariant (LSI) systems to manipulate discrete-time signals
4. compute and interpret the Fourier transform of discrete-time signals and frequency responses of discrete-time LSI systems
5. apply techniques in the z-transform domain to analyse, design and implement discrete-time LSI systems
6. design and implement both finite and infinite impulse discrete-time filters when provided with a canonical set of specifications
7. define the discrete Fourier transform, discuss its limitations and relations to other Fourier techniques
8. outline the concept underpinning algorithms for performing Fast Fourier transforms (FFT)
9. explain the concept of stochastic signals and processes and describe their characteristics using statistical measures
10. perform basic statistical spectrum analysis and apply them to the analysis of synthetic and real-world data in MATLAB
11. implement a range of elementary signal processing techniques in MATLAB for the analysis and/or design of discrete-time signals and systems
12. combine elementary signal processing blocks in MATLAB to implement moderately sophisticated algorithms which operate on real-world signals
University Graduate Attributes
No information currently available.
Required ResourcesPrandoni, Paolo and Vetterli, Martin, Signal Processing For Communications, EPFL Press, 2008. Free online version available here.
Recommended ResourcesRecommended textbooks:
- Oppenheim, Alan V. and Schafer, Ronald W. and Buck, John R., Discrete-Time Signal Processing, 2nd edition, Prentice-Hall, 1999, ISBN: 978-0-137-54920-7.
- Proakis, John G. and Manolakis, Dimitris G., Digital Signal Processing, 4th edition, Prentice- Hall International, 2006, ISBN: 978-0-131-87374-2.
- Bose, T., Digital Signal and Image Processing, Wiley 2004, ISBN: 978-0-471-32727-1.
- Mitra, Sanjit K., Digital Signal Processing: A Computer-Based Approach, 2nd edition with DSP Laboratory using MATLAB, McGraw-Hill, 2002, ISBN 9780071226073.
- Lathi, B. P., Linear Systems and Signals, 2nd edition, Oxford University Press, 2005, ISBN: 978-0-19-515833-5.
- Gilat, A., MATLAB: An Introduction with Applications, 2nd edition, Wiley 2004, ISBN: 978-0-471-69420-5.
Online LearningThis course uses MyUni exclusively for providing electronic resources, such as lecture notes, assignment papers, sample solutions, discussion boards, strongly recommended that the students make intensive use of these resources for this course.
Link to MyUni login page: https://myuni.adelaide.edu.au
Learning & Teaching Activities
Learning & Teaching ModesThis course relies on lectures as the primary delivery mechanism for the material. Tutorials supplement the lectures by providing exercises and examples to enhance the understanding obtained through lectures. Practical work is used to provide hands-on experience for students to reinforce the theoretical concepts encountered in lectures. Continuous assessment activities provide the formative assessment opportunities for students to gauge their progress and understanding.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact hours Workload hours Project 1 team project on a contemporary DSP application 1 20 Lecture 26 lectures 26 65 Tutorials 6 tutorials 6 24 Tests 2 tests 2 10 Exam 1 exam 2 30 TOTALS 37 149
Learning Activities Summary
Activity Sessions Topic Lecture 1-2 Introduction, Sampling 3 Discrete-time (DT) signals 4-6 DT linear shift-invariant (LSI) systems 7-10 Fourier analysis of DT signals and systems 11-14 z-transforms: analytical tool for the analysis of DT signals and systems 15-18 DT filters – concept, structures and design 19-22 Spectral analysis of DT signals 23-26 DT stochastic signals and systems Tutorial 1 Sampling & DT signals 2 DT LSI systems 3 DT Fourier analysis 4 z-transforms & DT filters 5 Spectral analysis 6 Stochastic signals & systems Project 1 Digital radio
Specific Course RequirementsStudents are required to have access to Matlab software. This is available at various facilities such as the CATS suite or the undergraduate computer labs of the School of Electrical & Electronic Engineering. It is the individual student’s responsibility to ensure his or her access to these facilities at appropriate times is available.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment activity Type Weighting Due date Learning outcomes addressed Tutorials Formative 10% Even weeks 1-9, 11 Tests Summative 20% Weeks 6, 11 1-9 Project Formative 10% Week 12 1-6, 10-12 Exam Summative 60% End of semester 1-9
Assessment Related RequirementsThe examination is a hurdle requirement. It is necessary to achieve at least 40% in the exam. If this is not achieved, the total course mark will be limited to a maximum of 49.
A hurdle requirement is defined by the University's Assessment for Coursework Programs policy as "...an assessment task mandating a minimum level of performance as a condition of passing the course.
If a student fails to meet a hurdle requirement (normally no less than 40%), and is assigned a total mark for the course in the range of 45-49, then the student is entitled to an offer of additional assessment of some type. The type of assessment is to be decided by the School Assessment Review Committee when determining final results. The student’s final total mark will be entered at no more than 49% and the offer of an additional assessment will be specified eg. US01. Once the additional assessment has been completed, this mark will be included in the calculation of the total mark for the course and the better of the two results will apply. Note however that the maximum final result for a course in which a student has sat an additional assessment will be a “50 Pass”.
If a student is unable to meet a hurdle requirement related to an assessment piece (may be throughout semester or at semester’s end) due to medical or compassionate circumstances beyond their control, then the student is entitled to an offer of replacement assessment of some type. An interim result of RP will be entered for the student, and the student will be notified of the offer of a replacement assessment. Once the replacement assessment has been completed, the result of that assessment will be included in the calculation of the total mark for the course.
Assessment DetailStudents are required to bring written attempts to selected problems for assessment at the fortnightly tutorial sessions. These formative assessments are based on the quality of attempts. The tutorials are worth 10% to the overall assessment.
There are two 45-minute closed book tests in the course. The tests will require students to submit short written responses to a set of questions under examination conditions. Each test will be worth 10% to the overall assessment.
The project is to be conducted throughout the semester using student-access computers such as those found in the CATS suites. Students will be organised in small teams to implement digital radio receivers in Matlab for a range of different modulation schemes. Each project team is required to submit a collaborative written report of their approach, the full set of source codes and the generated results. These deliverables will be assessed together and will be worth 10% of the overall assessment.
The exam will be a closed book examination in June. It will be worth 60% of the overall assessment.
SubmissionAll submissions to in term assessment activities are to be submitted electronically on MyUni by the specified time and date. No late submissions will be accepted. All in term assessments will have a two week turn-around time for provision of feedback to students.
Full details can be found on the School website:
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.Feedback from 2015 SELTs (plans for 2016 in italics):
- content, including Matlab, is difficult. Update tutorials to better reflect the learning needs of the class.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
- LinkedIn Learning
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.
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