• Offered by Research School of Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Academic career UGRD
  • Course convener
    • Dr Pallage Abhayapala
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2014
    See Future Offerings

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.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Having successfully completed this course, students will:
1. Understand the properties of z-transforms and its relations to LTI systems.
2. Have the understanding and the ability to use sampling and related concepts such changing
sampling rate, pre- ltering to avoid aliasing, oversampling & noise shaping.
3. Understand the concepts of all pass and minimum phase systems.
4. Understand IIR/FIR filter structures and ability to design filters.
5. Understand the processing of real time signals using Fourier techniques and ability to plan
and construct systems for spectral estimation of real signals.
6. Understand implementational aspects of simple DSP algorithms.

Indicative Assessment

Weekly problems; mid-semester quiz; Matlab project; final exam.

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Workload

Lectures; Weekly tutorial; Computer laboratories.

Requisite and Incompatibility

To enrol in this course you must have completed ENGN2228.

Majors

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. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. 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
Domestic fee paying students
Year Fee
1994-2003 $2946
2004 $2946
2005 $2946
2006 $2946
2007 $2946
2008 $2946
2009 $2946
2010 $2946
2011 $2946
2012 $2946
2013 $2946
2014 $2952
International fee paying students
Year Fee
1994-2003 $3756
2004 $3756
2005 $3756
2006 $3756
2007 $3756
2008 $3756
2009 $3756
2010 $3756
2011 $3756
2012 $3756
2013 $3756
2014 $3762
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4170 17 Feb 2014 07 Mar 2014 31 Mar 2014 30 May 2014 In Person N/A

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