SIGNAL PROCESSING AND CONTROL

ELE5FPC

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 5 - Masters

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Admission into one of the following courses: SMELE or SMTNE or SMENE

Co-requisites: N/A

Incompatible subjects: N/A

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

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

COMMUNICATION - Communicating and Influencing

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Creativity and Innovation

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

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.

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 design digital recursive and non-recursive filters, analyse characteristics and performance of feedback control systems and measure frequency responses of digital filters.

04. Perform a literature review and write an essay to demonstrate a deeper understanding of a fundamental concept in digital signal processing

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: 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	Comments	Category	Contribution	Hurdle	%	ILO*
Assignments (equivalent to 1350 words)	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO3, SILO4
Laboratory work (equivalent to 1150 words)	N/A	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	N/A	Yes	60	SILO1, SILO3