Digital Signal Processing
Undergraduate
Undergraduate
To develop the theory of discrete-time linear systems, Fourier analysis, filtering, sampling and multi-rate digital signal processing, and to provide students with experience to develop signal processing algorithms for engineering problems using industry-standard design and simulation tools.
Discrete-time linear systems, sampling, z-transform, Fourier analysis, discrete Fourier transform, digital filters, multirate signal processing, bandpass sampling, application of advanced digital signal processing algorithms to radar and telecommunications.
Proakis and Manolakis 2007, Digital Signal Processing: Principles, Algorithms, and Applications, 4, Prentice Hall
Common to all relevant programs | |
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Subject Area & Catalogue Number | Course Name |
MATH 2028 | Mathematical Methods for Engineers 3 |
EEET 3041 | Signals and Systems |
Nil
Component | Duration | ||
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INTERNAL, MAWSON LAKES | |||
Lecture | 1 hour x 13 weeks | ||
Practical | 2 hours x 4 weeks | ||
Tutorial | 2 hours x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Case study, Examination, Report
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
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Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.