SIGNAL PROCESSING AND CONTROL
ELE5FPC
2021
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
Co-requisitesN/A
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
Career-focusedNo
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
Subject options
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Melbourne (Bundoora), 2021, Semester 1, Day
Overview
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.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Assignments (equivalent to 1350 words) | Assignment | Individual | No | 20 | SILO1, SILO2, SILO3, SILO4 |
Laboratory work (equivalent to 1150 words) | Other | Individual | No | 20 | SILO2, SILO3 |
One 2-hour examination | Central exam | Individual | Yes | 60 | SILO1, SILO3 |