ECE2111 · Signals and systems

Overview

This unit provides foundations for the electrical engineering areas of control, signal processing and communications. The unit introduces concepts of continuous-time and discrete-time signals, their sampling and aliasing issues. Complex numbers, in particular, complex exponentials are introduced along with their representation as phasors, leading to periodic waveforms, Fourier series and the signal frequency spectrum. Modification of spectra will be described using FIR filters, discrete-time systems, the unit-sample response, discrete convolution, linear time-invariant systems, convolution integrals, the continuous-time Fourier transform, windowing, DFT, FFT, time-frequency spectrum analysis, spectrogram, and Laplace Transform. Connecting frequency response and time response completes the unit.

Areas of study: E3001 Bachelor of Engineering (Honours) - Specialisation: Biomedical engineering E3001 Bachelor of Engineering (Honours) - Specialisation: Electrical and computer systems engineering E6011 Master of Professional Engineering - Specialisation: Electrical engineering Minor: Telecommunications infrastructure

Offerings

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 40% Final assessment: 60% This unit contains hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Analyse and manipulate continuous-time and discrete-time signals using appropriate techniques.
2. Evaluate and analyse signals in frequency and time domains.
3. Analyse engineering systems by applying linear time invariant system concepts.
4. Apply the Fourier transform, Laplace Transform, and the discrete Fourier transforms to signals and system problems.
5. Identify sampling errors and aliasing phenomena.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.