ADVANCED SIGNAL PROCESSING

ELE4ASP

2021

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

Readings

Digital signal processing

Resource TypePrescribed

Resource RequirementN/A

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

01. Apply the necessary analytical tools to analyse and design digital signal processes using the fast Fourier transform, discrete cosine transform, spectrum analysis and digital models of speech.
02. Write a clear, concise and well-structured lab/assignment report, focusing on problem solving techniques used to solve the real world problems.
03. Write MATLAB code to analyse and design digital signal processes in audio, communication systems and image processing applications, such as linear predictive coding, polyphase filters, multirate DSP, finite and infinite impulse response filters.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDennis Deng

Class requirements

Laboratory ClassWeek: 10 - 22
One 2.00 h 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 h 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 h tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*
3 assignments (equivalent to 300-words each)N/AN/AN/ANo15 SILO1, SILO2
3 laboratory tests (equivalent to 300-words each)N/AN/AN/ANo15 SILO2, SILO3
one 2-hour examination Hurdle requirement: To pass the subject, a minimum 40% mark in the examination is mandatory.N/AN/AN/AYes60 SILO2, SILO3
1 hour mid semester in-class written testN/AN/AN/ANo10 SILO1, SILO2