- Code ENGN4537
- Unit Value 6 units
- Offered by Research School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering
Digital Signal Processing (DSP) has become over the years an important tool with applications in
Electrical and Mechanical Engineering fields. DSP has penetrated many domains of applications,
such as digital communications, medical imaging, audio & video systems, consumer electronics,
robotics, remote sensing, finance etc.
The Discrete-Time Signal Processing paradigm is a convenient setting to analyse the basic
principles of DSP. At the end of this course, the students should be able to understand these basic
principles, and apply fundamental algorithms and methods to analyse and design discrete-time
systems for modern DSP applications. Though the course will focus on the study of theoretical
concepts, methods and algorithms, the student will be confronted with application and imple-
mentation issues, through various examples and assignments requiring personal computer work
including processing of real-world signals.
Upon successful completion, students will have the knowledge and skills to:1. Analyse and evaluate the properties of LTI systems in terms of its z-transforms.
2. Understand the sampling theorem and perform sampling on continuous-time signals by applying advanced knowledge of the sampling theory (i.e. aliasing, quantisation errors, pre- filtering).
3. Apply the concepts of all-pass and minimum-phase systems to analyse the LTI system and address complex design problems.
4. Evaluate design problems related to frequency selective processing and design FIR/IIR filters.
5. Construct systems for spectral estimation of real signals by applying advanced knowledge of Fourier techniques.
6. Judge implementation aspects of modern DSP algorithms.
7. Apply the relevant theoretical knowledge to design and analyse a practical discrete-time signal system, such as a radar or audio system, using Matlab platform.
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies
Weekly problems; mid-semester quiz; Matlab project; final exam.
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Lectures; Weekly tutorial; Computer laboratories.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- 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.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|3383||15 Feb 2016||26 Feb 2016||31 Mar 2016||27 May 2016||In Person||N/A|