SIGNAL PROCESSING AND CONTROL
ELE3SPC
2018
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
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | DSP First: A multimedia approach, | Prescribed | McClellan, J. H., Schafer, R. W., Yoder, M. A. | PRENTICE-HALL 1998. |
| Readings | Digital signal processing, | Prescribed | Proakis, J. and Manolakis, D. G. | 4TH EDN. PEARSON PRENTICE HALL, 2007 |
| Readings | Modern control systems | Prescribed | Dorf, RC and Bishop, RH 2011 | 12TH 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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Melbourne, 2018, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorSong Wang
Class requirements
Laboratory Class
Week:
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.
Lecture
Week:
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.
Tutorial
Week:
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 element | Comments | % | ILO* |
|---|---|---|---|
| assignments (equivalent to 850 words) | 20 | 01, 02, 03 | |
| laboratory work (equivalent to 900 words) | 20 | 02, 03 | |
| one 2-hour examination | Hurdle requirement: To pass the subject, a minimum 40% mark in the examination is mandatory. | 60 | 01, 03 |