Requisite(s): 120 credit points of completed study in C10061 Bachelor of Engineering Diploma in Engineering Practice OR 120 credit points of completed study in C10066 Bachelor of Engineering Science OR 120 credit points of completed study in C10067 Bachelor of Engineering
These requisites may not apply to students in certain courses.
There are also course requisites for this subject. See access conditions.
This subject focuses on one aspect of telecommunications signal processing: source coding of images and audio. Incorporated in this main topic are characterisation of random signals using autocorrelation function and power spectral density, optimal linear prediction of signals (including Wiener filtering), quantisation of signals using pulse coding modulation, and differential pulse code modulation, linear transforms (Discrete Fourier Transform, Discrete Cosine Transform, Karhunen-Loeve Transform), sub-band coding transforms and lossless compression. These topics are brought together with an in-depth examination of JPEG coding of images. Finally, the implementation of various other compression methods, including MPEG-2, MPEG-4, MPEG-audio and various techniques of speech coding, is discussed.
Assessment: Assessment is project-based using MATLAB.
Autumn semester, City campus