|Student Contribution Band:||Band 2|
|Administered by:||College of Science and Engineering|
This subject introduces the theory and methods of acquiring and manipulating time-varying signals using a digital computer. It covers the effects of sampling and aliasing, time domain and frequency domain representations, the Fast Fourier Transform, windowing techniques, signal convolution and correlation and filtering. Students will learn how to develop digital signal processing software, and gain experience about practical signal processing applications.
|An understanding of the Fourier series and the ability to apply it. Experience applying integral transforms (e.g. Laplace transform, Fourier transform) is beneficial. Matlab programming or other programming experience is highly desirable|
|Prerequisites:||MA2000 OR ADMITTANCE INTO MASTER OF ENGINEERING (PROF)|
|Cairns, Study Period 2, Internal|
|Census Date 29-Aug-2019|
|Coordinator:||Professor Wei Xiang|
|Lecturer:||Dr Yang Du.|
The student workload for this 3 credit point subject is approximately 130 hours.
|Assessment:||end of semester exam (60%); assignments (20%); second assignment (20%).|
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.