BEE212

Version

1.1

Unit Name

Signal Processing

Unit Code

BEE212

Unit Duration

1 Semester

Award

Bachelor of Science (Engineering)

Duration 3 years

Year Level

Two

Unit Creator / Reviewer

N/A

Core/Sub-discipline:

Sub-discipline

Pre/Co-requisites

N/A

Credit Points

Total Course Credit Points 81 (27 x 3)

Mode of Delivery

Online or on-campus.

Unit Workload

(Total student workload including “contact hours” = 10 hours per week)
Pre-recordings / Lecture – 1.5 hours
Tutorial – 1.5 hours
Guided labs / Group work / Assessments – 2 hours
Personal Study recommended – 5 hours

Unit Description and General Aims

The objective in presenting this unit is to impart to students the principles and application of analogue and digital signal processing. The subject matter covered in this unit will include: continuous time and discrete time signals and systems, time-domain and frequency-domain analysis, analogue and digital filters, and the use of MATLAB in signal processing.

Learning Outcomes

On successful completion of this Unit, students are expected to be able to:

Explain the differences between analogue and digital signal processing and their applications.
Bloom's Level 2
Analyse continuous time signals and systems in the time and frequency domain.
Bloom's Level 4
Analyse discrete time signals and systems in the time and frequency domain.
Bloom's Level 3
Evaluate when to apply and apply Laplace, Fourier, and z Transforms.
Bloom's Level 3
Design analogue filters.
Bloom's Level 6
Design digital filters.
Bloom's Level 6
Use software tools for signal processing.
Bloom's Level 3

Student Assessment

Assessment Type	When assessed	Weighting (% of total unit marks)	Learning Outcomes Assessed
Assessment 1 Type: Weekly quizzes Description: Students will need to complete multiple-choice quiz questions to demonstrate a good understanding of the fundamental concepts	Weekly	10%	All (Topics 2 to 11)
Assessment 2 Type: Test (Invigilated) Description: Students will need to answer some short and/or long answer questions and/or solve some numerical problems.	After Topic 6	20%	1, 2 (Topics 1 to 6)
Assessment 3 Type: Test (Invigilated) Description: Students will need to answer some short and/or long answer questions and/or solve some numerical problems.	After Topic 9	30%	1, 2, 3, 4, 5 (Topics 1 to 9)
Assessment 4 Type: Practical (Report) Description: Students will need to complete this practical project using software.	Final Week	35%	All (All topics)
Attendance / Tutorial Participation Example: Presentation, discussion, group work, exercises, self-assessment/reflection, case study analysis, application.	Continuous	5%	-

Overall requirements: An overall final unit score of 50% or above must be achieved to pass the unit once all assessment, including the exam, has been completed.

Prescribed and Recommended Readings

Textbook

L. F. Chaparro, A. Akan, Signals and Systems Using MATLAB® (3rd Edition). Elsevier, 2019 - ISBN: 9780128142042 [available on Knovel]

Reference

IDC Technologies, Practical Digital Signal Processing Systems for Engineers and Technicians, IDC Technologies, Perth.
T. K. Rawat, Digital Signal Processing. Oxford University Press, 2015 - ISBN: 9780198081937 [available on Knovel]

Notes and Reference texts

Knovel library: http://app.knovel.com
IDC notes and Reference texts as advised
Other material advised during the lectures

Unit Content

Topic 1

Introduction to Signal Processing

Importance of signal processing in industry – introductory examples
Concepts of continuous and discrete signals and systems
Broad classification of systems and signals
Introduction of software tools used in signal processing: Python, R & MATLAB

Topic 2

Continuous Time Signals

Classification of signals
Representation of continuous time signals
Time scaling
Modulation
Windowing
Integration

Topic 3

Continuous Time Systems

Classification of systems
Linear Time Invariant continuous time systems
Convolution integral
Impulse response and convolution integral
Interconnection of systems and block diagrams

Topic 4

Laplace Transforms

Applications in signal processing
Transfer functions of LTI systems
Analysis of LTI systems: steady state and transient analysis
Use of software tool for LTI system simulation

Topic 5

Frequency Analysis

Fourier series in signal processing
Fourier transforms in signal processing
Spectral representation
Use of software tool for frequency analysis

Topic 6

Analogue Filters

Basics of filtering
Convolution and filtering
Ideal filters
Frequency response from poles and zeros
The spectrum analyzer
Butterworth and Chebyshev filter design
Frequency transformation
Use of software tool for filter design

Topic 7

Sampling Theory

Uniform sampling
Signal reconstruction
Sample and hold sampling
Quantization and coding

Topic 8

Discrete Time Signals and Systems

Discrete time signals
Discrete time systems
Use of software tool for discrete time signals and systems

Topic 9

The Z-Transform

Laplace transform of sampled signals
Z-transform properties
Inverse transform
Use of software tool for applying z-transforms

Topic 10

Discrete Fourier Analysis

DTFT (Discrete Time Fourier Transform) in signal processing
DFT (Discrete Fourier Transform) in signal processing
Computation using FFT (Fast Fourier Transform)
Use of Software tools for Fourier analysis

Topic 11

Digital Filters

FIR (Finite Impulse Response) filters
IIR (Infinite Impulse Response) filters
Use of software tool for digital filter design

Topic 12

Project and Unit Review

In the final week, students will have an opportunity to review the contents covered so far. Opportunity will be provided for a review of student work and to clarify any outstanding issues. Instructors/facilitators may choose to cover a specialized topic if applicable to that cohort.