Advanced Signal Processing

Undergraduate | 2026

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Area/Catalogue
ENGE X412
Course ID icon
Course ID
206619
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
4
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course builds upon foundational digital signal processing (DSP) knowledge and explores advanced DSP topics and applications. The course will cover topics such as discrete-time (DT) random processes, adaptive filtering, spectral estimation, DT filter implementation strategies, multi-rate signal processing and an introduction to multidimensional signal processing. Practical hands-on experience will be gained through computer labs and projects. This course is suitable for engineers with technical interests in sensor information processing, telecommunications and artificial intelligence.

Course learning outcomes

  • Choose and apply suitable technique(s) to estimate the spectral density of discrete-time (DT) signals
  • Formulate and solve adaptive filter problems, and implement solution for applications such as linear prediction, Wiener and least mean-square (LMS) filters
  • Describe the concept of multi-rate signal processing and apply technique to solve problems requiring decimation and interpolation, multi-rate filters, and wavelet transforms
  • Implement and critically evaluate DSP algorithms through completing computer-based experiments involving simulated and real data

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A