This unit covers fundamental theories and techniques for manipulating and analysing signals in the digital domain. Students learn about signal representations, sampling, filtering, modulation, and applications in audio, image, telecommunications, and biomedical engineering. Practical skills are developed using software tools like MATLAB/Python and hardware techniques. This unit may be cotaught with 10095 Digital Signal Processing G.

Learning outcomes

Upon successful completion of this unit, students will be able to:
1. Demonstrate an understanding of the fundamental theories of signal processing, including the properties of continuous and discrete signals, sampling theory, and analog-to-digital conversion;
2. Apply spectrum analysis techniques, such as the Laplace transform, z-transform, Fourier transform, and discrete Fourier transform, to analyse and process signals in both time and frequency domains;
3. Apply the concepts of spectrum analysis to periodic and non-periodic signals; and
4. Develop digital signal processing systems using contemporary software and hardware techniques.

Graduate attributes

1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives

Prerequisites

10087 Engineering Mathematics

Corequisites

None.

Incompatible units

10095 Digital Signal Processing G

Equivalent units

None.

Assumed knowledge

None.