Credit points: 15

Subject outline

In this subject, students are introduced to digital signal processing (DSP) and linear control systems. Students first study necessary analytical DSP and control systems skills including Fourier analysis, linear systems z-transform, Laplace transform, stability analysis, state-space techniques and frequency response methods. Then they apply these skills to a range of real world problems such as removing noise from audio, speech and digital images and the analysis of characteristics and performance of feedback control systems. The DSP element of this subject is an excellent preparation for a career in multimedia processing while the study of linear control systems develops essential engineering skills to analyse and design physical systems.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorSong Wang

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesLearning activities include lectures, tutorials and labs. Main technical contents of the subject are explained in the lectures.  Some challenging topics are elaborated and strengthened in the tutorials through problem-solving exercises. System analysis and design are practised in labs through specific lab tasks.

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Admission into one of the following courses: SMELE or SMTNE or SMENE


Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Apply the necessary analytical tools to analyse and design digital filters and control systems using Fourier analysis, linear systems z-transform and Laplace transform.
02. Write a clear, concise and well-structured lab/assignment report, focusing on problem solving techniques used to solve the real world problems.
03. Write MATLAB code to design digital recursive and non-recursive filters, analyse characteristics and performance of feedback control systems and measure frequency responses of digital filters.
04. Perform a literature review and write an essay to demonstrate a deeper understanding of a fundamental concept in digital signal processing

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorSong Wang

Class requirements

Laboratory ClassWeek: 11 - 22
One 3.00 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

LectureWeek: 10 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

WorkShopWeek: 10 - 22
One 1.00 hour workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.


Assessment elementCommentsCategoryContributionHurdle% ILO*

Assignments (equivalent to 1350 words)

N/AAssignmentIndividualNo20 SILO1, SILO2, SILO3, SILO4

Laboratory work (equivalent to 1150 words)

N/AOtherIndividualNo20 SILO2, SILO3

One 2-hour examination
Hurdle Requirement: To pass the subject, a minimum 40% mark in the examination is mandatory.

N/ACentral examIndividualYes60 SILO1, SILO3