ele3spc signal processing and control
SIGNAL PROCESSING AND CONTROL
ELE3SPC
2020
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 (Pre 2022)
Credit points15
Subject Co-ordinatorSong Wang
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 3 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesELE2CIR
Co-requisitesN/A
Incompatible subjectsELE5FPC OR ELE3CON OR ELE3SIP
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Modern control systems
Resource TypeBook
Resource RequirementPrescribed
AuthorDorf, RC and Bishop, RH
Year2011
Edition/Volume12TH EDN
PublisherPRENTICE HALL
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Digital signal processing
Resource TypeBook
Resource RequirementPrescribed
AuthorProakis, J. and Manolakis, D. G.
Year2007
Edition/Volume4TH EDN
PublisherPEARSON PRENTICE HALL
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
DSP First: A multimedia approach
Resource TypeBook
Resource RequirementPrescribed
AuthorMcClellan, J. H., Schafer, R. W., Yoder, M. A.
Year1998
Edition/VolumeN/A
PublisherPRENTICE-HALL
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/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), 2020, Semester 1, Day
Overview
Online enrolmentNo
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.
TutorialWeek: 10 - 22
One 1.00 hour tutorial 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 850 words) | N/A | N/A | No | 20 | SILO1, SILO2, SILO3 |
Laboratory work (equivalent to 900 words) | N/A | N/A | No | 20 | SILO2, SILO3 |
One 2-hour examinationHurdle Requirement: To pass the subject, a minimum 40% mark in the examination is mandatory. | N/A | N/A | Yes | 60 | SILO1, SILO3 |