ELE4282

Digital signal processing

B Lithgow

4 points
* 26 lecture hours and 26 laboratory hours
* Second semester
* Caulfield
* Prerequisites: MAC2901

Objectives To obtain an understanding of the fundamental principles which form the basis of DSP and image processing systems; the assumptions used in the formulation of computer programs for implementation of DSP applications. To gain knowledge of DSP applications and specialist techniques used to optimally solve them; the criteria used in the design, simulation, construction and debugging of DSP hardware. An introduction to artificial intelligence.

Synopsis Applications using the TMS320 family processors, digital image processing, wavelets, a comparison of artificial intelligence systems: neural networks, expert systems, fuzzy logic. Computerised tomography will be used as an example image processing application.

Assessment Examination (3 hours): 60%
* Practical work and laboratory work: 40%

Recommended texts

Gonzales R C and Woods R E Digital image processing Addison-Wesley, 1992
Kak A C and Slaney M Principles of computerised tomographic imaging IEEE Press, 1988
Strum R D and Kirk D E First principles of discrete systems and digital signal processing Addison-Wesley, 1988