Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2009:Semester 2, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Thirty-six hours of lectures, 12 hours tutorials, 12 hours of laboratory work |
Total Time Commitment: Not available
431-221 Fundamentals of Signals and Systems
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorAssoc Prof Erik Weyer
On completion of this subject students should have a good understanding of fundamental digital signal processing operations, digital filter design and frequency domain properties of discrete time signals and systems.
Topics include motivation for signal processing with examples. Revision of deterministic signals and systems. Sampling of analog signals. Frequency domain properties: Discret time Fourier transform and Discret Fourier transform and their properties, Fast Fourier transform. Application of Fourier transform in spectral analysis and filter design. Digital filter design: filter types (lowpass, highpass, stopband, all pass, notch), phase, group delay, implications of causality, design of FIR and IIR filters. Multi-rate signal processing: upsampling, downsampling, signal rate conversion. Applications of digital signal processing.
On completing this subject the student should be able to:
1. Apply fundamental mathematical tools, in particular frequency-domain techniques, in the analysis and design of signal processing systems;
2. Design, implement and test simple digital filters according to given specifications.
3. Use software packages such as MATLAB for analysis and design of signal processing systems
4. Use DSP based prototyping platforms and associated software development tools to implement signal processing algorithms.
Formally supervised written examination 3 hours 60% (end of semester); project/laboratory reports 40% (four projects/labs throughout the semester). The written examination is a hurdle requirement: in order to receive a pass mark for the subject, students must perform at a passing standard on the written examination.
|Recommended Texts:|| |
Information Not Available
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Bachelor of Engineering (Biomedical)Biosignals |
Bachelor of Engineering (Electrical Engineering)
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