ele4asp advanced signal processing
ADVANCED SIGNAL PROCESSING
ELE4ASP
2020
Credit points: 15
Subject outline
In this subject, students explore advance digital signal processing (DSP) by analysing and solving problems in real world digital signal systems. Students first study the necessary analytical DSP skills including fast Fourier transform, discrete cosine transform, spectrum analysis and digital models of speech, and then apply these tools to audio, communication systems and image processing applications by analysing and implementing linear predictive codes, polyphase filters and finite and infinite impulse response filters. This subject provides excellent exposure of DSP to students wishing to pursue a career in fields involving digital audio, communication and image processing.
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 into SMELE 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
Digital signal processing
Resource TypeBook
Resource RequirementPrescribed
AuthorMitra, S.
Year2001
Edition/Volume2ND EDN
PublisherMCGRAW HILL
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
Select to view your study options…
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDennis Deng
Class requirements
Laboratory ClassWeek: 10 - 22
One 2.00 hours laboratory class per week on weekdays during the day from week 10 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* |
|---|---|---|---|---|---|
| 3 assignments (equivalent to 300-words each) | N/A | N/A | No | 15 | SILO1, SILO2 |
| 3 laboratory tests (equivalent to 300-words each) | N/A | N/A | No | 15 | SILO2, SILO3 |
| one 2-hour examination Hurdle requirement: To pass the subject, a minimum 40% mark in the examination is mandatory. | N/A | N/A | Yes | 60 | SILO2, SILO3 |
| 1 hour mid semester in-class written test | N/A | N/A | No | 10 | SILO1, SILO2 |