ELEC6400

Signal Processing

10 Units

This course provides students with an advanced knowledge of signal processing with an emphasis on filtering, spectral analysis and applications such as image processing and signal compression.

Faculty Faculty of Engineering and Built Environment
School School of Electrical Engineering and Computer Science
Availability Semester 1 - 2017 (Callaghan)
Learning Outcomes

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

  1. Discuss the fundamental uses, distinction and trade-offs between analog and digital signal processing methods
  2. Demonstrate expertise in analog and digital filter design methodologies
  3. Design, implement and test digital filters
  4. Apply different transform domain techniques for signal processing
  5. Demonstrate skills in multi-rate signal processing design
  6. Demonstrate skills in image processing
  7. Understand the principles of digital signal compression
  8. Gain experience in working on a practical group project
Content
  1. Review of sampling theory and discrete-time systems
  2. Review of discrete-time Fourier transforms and convolution
  3. Discrete-time and Discrete Fourier Transform Theory
  4. Z-transform
  5. Filter design techniques and digital implementation
  6. Multi-rate signal processing and introductory filterbanks
  7. Introduction to digital signal compression
  8. Introduction to image processing 
Requisites
  • This course has similarities to ELEC3400. If you have completed ELEC3400, you cannot enrol in this course.
Assumed Knowledge ELEC2430 Circuits and Signals
Assessment Items
  • Formal Examination: Final examination
  • Tutorial / Laboratory Exercises: Laboratory exercises x 3

Contact Hours

Callaghan

Laboratory

Face to Face On Campus 2 hour(s) per Week for Full Term

Lecture

Face to Face On Campus 3 hour(s) per Week for Full Term

Tutorial

Face to Face On Campus 1 hour(s) per Week for Full Term

Timetable 2017 Course Timetables for ELEC6400
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