CSE3132

Digital signal processing

H R Wu

6 points - Two-hour lecture, one-hour tutorial and two-hour laboratory/practical work per week - Second semester - Clayton - Prerequisites:CSE2131 or equivalent

Objectives At the completion of the subject students should be able to understand the basic concepts, theory and techniques; apply DSP techniques to signal processing tasks; design and implement DSP algorithms to run on given DSP hardware; and continue their study in more advanced DSP topics and other specialised areas as mentioned, but not limited to, the above.

Synopsis This subject, a continuation of CSE2131, addresses fundamental concepts, theory and techniques of digital signal processing (DSP); applications of DSP and their implementations; and an appreciation of specific computer architectures used in digital signal processors. It provides the basis for more advanced topics in the area, such as advanced DSP, neural networks, video coding and compression, digital communications, digital control, and advanced image and voice processing. The syllabus covers sampling of continuous-time signals and sampling rate conversion, digital signal processing systems, structures for discrete-time systems, digital filter design techniques, discrete Fourier transform (DFT) and computation of DFTs, discrete Hilbert transform and its applications, quantisation effect in digital signal processing; Fourier analysis of signals using the DFT, multirate digital signal processing, applications of DSP, and real-time DSP implementation using, for example, the TMS320C25/C30 digital signal processor(s).

Assessment Examination (3 hours): 60% - Practical work: 40%

Prescribed texts

Ifeachor E C and Jervis B W Digital signal processing: A practical approach Addison-Wesley, 1993

Back to the 1999 Information Technology Handbooks