DIGITAL SIGNAL AND IMAGE PROCESSING
ELE4DIP
2021
Credit points: 15
Subject outline
Digital signal/image processing is concerned with the representation, transformation and manipulation of signals and the information they contain. This subject will cover the fundamental principles as well as current industry applications. You will use software tools such as MATLAB to rapidly design complex signal processing operations by selectively combining and tuning built in functions. These skills can be applied within an immense set of disciplines which broadly include entertainment, communications and machine vision.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorDennis Deng
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites ELE2CIR or admission to SMELE, or SMENE or SMTNE
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
Learning resources
Image processing and analysis
Resource TypeBook
Resource RequirementRecommended
AuthorBirchield
Year2018
Edition/VolumeN/A
PublisherCengage Learning
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Digital signal processing using MATLAB
Resource TypeBook
Resource RequirementRecommended
AuthorIngle et. al.
Year2017
Edition/VolumeN/A
PublisherCenage Learning
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Digital image processing using MATLAB
Resource TypeBook
Resource RequirementPrescribed
AuthorGozalez et. Al
Year2009
Edition/VolumeN/A
PublisherPrentice Hall
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Image processing, analysis and machine vision
Resource TypeBook
Resource RequirementRecommended
AuthorSonka et. Al
Year2015
Edition/VolumeN/A
PublisherCengage Learning
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), 2021, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDennis Deng
Class requirements
Laboratory ClassWeek: 32 - 43
One 3.00 hours laboratory class per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
3 hours problem solving in laboratory
LectureWeek: 30 - 42
Two 1.00 hour lecture per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.
TutorialWeek: 32 - 43
One 1.00 hour tutorial per week on weekdays during the day from week 32 to week 43 and delivered via blended.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
3 Written Assignments (equivalent to 1,000 words total)Each assignment will correspond to a key discipline area of knowledge including concepts such as 1D and 2D signals processing, signal analysis and the structure and usage of relevant algorithms. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4 |
Laboratory Design Projects (equivalent to 1,500 words total)Students complete 6 laboratory-based design projects connected to work they have completed across weekly laboratory classes. Students are assessed based on demonstration of their design and written reports. Lab design tasks are each worth 5% | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4 |
One 2-hour written examination (equivalent to 2,000 words) | N/A | N/A | No | 50 | SILO1, SILO2, SILO4 |