SIGNAL PROCESSING AND CONTROL
ELE3SPC
2020
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 analyse and design physical systems.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Song Wang
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 3 - UG
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: ELE2CIR
Co-requisites: N/A
Incompatible subjects: ELE5FPC OR ELE3CON OR ELE3SIP
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Learning resources
Modern control systems
Resource Type: Book
Resource Requirement: Prescribed
Author: Dorf, RC and Bishop, RH
Year: 2011
Edition/Volume: 12TH EDN
Publisher: PRENTICE HALL
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Digital signal processing
Resource Type: Book
Resource Requirement: Prescribed
Author: Proakis, J. and Manolakis, D. G.
Year: 2007
Edition/Volume: 4TH EDN
Publisher: PEARSON PRENTICE HALL
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
DSP First: A multimedia approach
Resource Type: Book
Resource Requirement: Prescribed
Author: McClellan, J. H., Schafer, R. W., Yoder, M. A.
Year: 1998
Edition/Volume: N/A
Publisher: PRENTICE-HALL
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolment: No
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Song Wang
Class requirements
Laboratory ClassWeek: 11 - 22
One 3.00 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 1.00 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* |
|---|---|---|---|---|---|
Assignments (equivalent to 850 words) | N/A | N/A | No | 20 | SILO1, SILO2, SILO3 |
Laboratory work (equivalent to 900 words) | N/A | N/A | No | 20 | SILO2, SILO3 |
One 2-hour examinationHurdle Requirement: To pass the subject, a minimum 40% mark in the examination is mandatory. | N/A | N/A | Yes | 60 | SILO1, SILO3 |