Not offered in 2005.
Synopsis: The subject covers principle concepts, theory and advanced techniques of digital signal processing and analysis, including fast algorithms for digital signal processing; quantization effects in digital signal processing and implementation issues; applications of cross- and auto-correlations; modulation, deconvolution and system identification; power spectrum estimation; multirate DSP; adaptive filters; Kalman filters; applications of digital signal processors.
Assessment: 10% Assignments (2) + 40% Laboratory work and demonstration + 50% Laboratory reports (3)
Contact Hours: 2 hours lectures
Prerequisites: An undergraduate degree in a technical computing area such as a Bachelor of Digital Systems or Bachelor of Computer Science or equivalent, including studies in signal processing, e.g. CSE2131 and CSE3132 or equivalent