This course presents the principles, theory and techniques fundamental to the analysis and design of continuous time and discrete time signal processing systems. The concepts are illustrated with examples from circuit theory, signal processing, bio-medical engineering, communications, etc. The course has three hardware laboratories using the Telecommunications Instructional Modelling System (TIMS) and one computer laboratory based around MATLAB.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
On successful completion of this course, students should have the skills and knowledge to:- Demonstrate understanding of continuoustime and discrete-time signals and systems and analyse their properties such as causality, linearity, time invariance and stability.
- Describe and model signals and systems arising from different engineering disciplines using a common analytical framework and apply common engineering tools and techniques to problem solving across these disciplines.
- Use impulse response, frequency response and Fourier methods in analysing signals and systems in time and frequency domains, as well as low-pass, band-pass and high-pass filter designs.
- Explain the concept of sampling, the Sampling Theorem, aliasing and the Nyquist rate.
- Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies
Indicative Assessment
- Assignments (12%);
- Labs (18%),
- Mid-Semester exam (20%);
- Final Exam (50%)
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
A standard workload of approximately 10 hours/week including the following formal contact hours: 30-36 one hour lectures, 3 x 3hr hardware laboratories, 3x 3hr computer laboratoriesRequisite and Incompatibility
Prescribed Texts
Signals & Systems by Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab.Assumed Knowledge
Calculus - Integration and techniques of integration. Functions of several variables - visualisation, continuity, partial derivatives and directional derivatives.Linear Algebra - theory and application of Euclidean vector spaces. Vector spaces: linear independence, bases and dimension; eigenvalues and eigenvectors; orthogonality and least squares.
Minors
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2019 | $4320 |
- International fee paying students
| Year | Fee |
|---|---|
| 2019 | $5700 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 7380 | 22 Jul 2019 | 29 Jul 2019 | 31 Aug 2019 | 25 Oct 2019 | In Person | N/A |