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

Readings

Image processing and analysis

Resource TypeRecommended

Resource RequirementN/A

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 TypeRecommended

Resource RequirementN/A

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 TypePrescribed

Resource RequirementN/A

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 TypeRecommended

Resource RequirementN/A

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

01. Gain deep understanding of fundamental principles in digital signal and image processing.
02. Evaluate and analyse signals/images and their acquisition, enhancement and synthesis in image processing systems
03. Use software tools to model, design, and implement algorithms.
04. Apply the theory and algorithms that are widely used in digital signal processing to enhance specific characteristics of signals.

Subject options

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Start date between: and    Key dates

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 h 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 h 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 h tutorial per week on weekdays during the day from week 32 to week 43 and delivered via blended.

Assessments

Assessment elementCommentsCategoryContributionHurdle% 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/AN/AN/ANo20 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/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4

One 2-hour written examination (equivalent to 2,000 words)

N/AN/AN/ANo50 SILO1, SILO2, SILO4