Signal Processing

Unit code:NEE3208Study level:Undergraduate

Credit points

12
(Generally, 1 credit = 10 hours of classes and independent study.)

Location

Footscray Park

Prerequisites

NEE2201 - Linear Systems with Matlab Applications
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)

Overview

This unit introduces students to the principles and applications of digital signal processing (DSP), focusing on the analysis and manipulation of discrete-time signals and systems. Students will explore the representation of signals in both the time and frequency domains, learning how transformations such as the discrete Fourier transform (DFT) and z-transform enable system characterisation and filter design. Key topics include sampling and quantisation, anti-aliasing techniques, analogue-to-digital conversion, and the design and implementation of finite and infinite impulse response (FIR and IIR) filters. Practical applications using software tools such as MATLAB will reinforce theoretical knowledge, enabling students to analyse, design, and implement digital filters that improve signal quality and system performance.

Learning Outcomes

On successful completion of this unit, students will be able to:

Interpret the time- and frequency-domain characteristics of discrete-time signals and systems;
Analyse and differentiate information-bearing and noise components in digital signals using quantitative performance measures;
Apply transform techniques, including the discrete Fourier transform (DFT) and z-transform, to model and analyse discrete-time systems; and
Design and implement digital filters to process, enhance, and denoise discrete signals using analytical and computational tools.

Assessment

For Melbourne campuses

Assessment type: Laboratory Work | Grade: 30%

Practical Assessment (Individual)(1500 words)

Assessment type: Report | Grade: 30%

Lab Report (Group) (2000 words)

Assessment type: Test | Grade: 40%

In-class invigilated test (Individual) (90 mins)

Laboratory Work: This assessment ensures accountability by requiring students to perform hands on and lab tasks under supervision. Real-time observation and process-focused questioning verify understanding and application of analytical skills.

Report. Structured group lab report documenting design, implementation, and validation processes in detail. Progressive milestone checks, documented collaboration and individual contributions ensure accountability and support verification of each student’s engagement. Explicit evaluation of individual contributions further supports the secure assessment and assurance of each student’s achievement of learning outcomes.

Test: This secure invigilated in class assessment has an unpredictable problem-solving scenario format that tests understanding, requires explanation of reasoning and process, and involves applying knowledge to new contexts.