ele3spc signal processing and control

SIGNAL PROCESSING AND CONTROL

ELE3SPC

2019

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 analyze and design physical systems.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorSong Wang

Available to Study Abroad StudentsYes

Subject year levelYear Level 3 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites ELE2CIR

Co-requisitesN/A

Incompatible subjects ELE3SIP, ELE3CON, ELE5FPC

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsDSP First: A multimedia approach,PrescribedMcClellan, J. H., Schafer, R. W., Yoder, M. A.PRENTICE-HALL 1998.
ReadingsDigital signal processing,PrescribedProakis, J. and Manolakis, D. G.4TH EDN. PEARSON PRENTICE HALL, 2007
ReadingsModern control systemsPrescribedDorf, RC and Bishop, RH 201112TH EDN, PRENTICE HALL

Graduate capabilities & intended learning outcomes

01. Apply the necessary analytical tools to analyse and design digital filters and control systems using Fourier analysis, linear systems z-transform and Laplace transform.

Activities:
Lectures 2-7 are on the design of digital filters Lectures 9-20 are on the design of control systems. Assignments (1-3) and labs (1-3) are designed for students to simulate practical systems and reinforce the knowledge.
Related graduate capabilities and elements:
Creative Problem-solving(Creative Problem-solving)
Inquiry/ Research(Inquiry/ Research)
Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)
Critical Thinking(Critical Thinking)

02. Write a clear, concise and well-structured lab/assignment report, focusing on problem solving techniques used to solve the real world problems.

Activities:
Detailed examples will be discussed in lectures. Assignments questions and simulations in labs help students solve practical problems.
Related graduate capabilities and elements:
Discipline-specific GCs(Discipline-specific GCs)
Creative Problem-solving(Creative Problem-solving)
Writing(Writing)

03. Write matlab code to design digital recursive and non-recursive filters, analyse characteristics and performance of feedback control systems and measure frequency responses of digital filters.

Activities:
Detailed Matlab code will be discussed in lectures and Matlab will be to solve assignment questions and perform simulations in the lab.
Related graduate capabilities and elements:
Discipline-specific GCs(Discipline-specific GCs)

Subject options

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Start date between: and    Key dates

Melbourne, 2019, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorSong Wang

Class requirements

Laboratory ClassWeek: 11 - 22
One 3.0 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 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

TutorialWeek: 10 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%ILO*
assignments (equivalent to 850 words)2001, 02, 03
laboratory work (equivalent to 900 words)2002, 03
one 2-hour examinationHurdle requirement: To pass the subject, a minimum 40% mark in the examination is mandatory.6001, 03