Provides an introduction to the fundamentals of signal processing with an emphasis on filtering and spectral measurement. Both continuous and discrete time processing methods are covered.
|Faculty||Faculty of Engineering and Built Environment|
|School||School of Electrical Engineering and Computer Science|
Not currently offered
Previously offered in 2017, 2016
On successful completion of this course, students will be able to:
1. Review of relevant areas of continuous time systems theory with emphasis on Impulse response, Causality, Paley-Wiener Theorem, and Fourier Transform Theory.
2. Analog filter design methods with an emphasis on Butterworth and Chebychev techniques.
3. Review of discrete time systems theory with focus on the topics of sampling, aliasing, and reconstruction.
4. The Discrete and Fast Fourier Transform - theory, use, windowing, design trade-offs and implementation.
5. The use of the Fast Fourier transform for filtering.
6. Infinite Impulse Response (IIR) Digital Filter Design using Bilinear transform design methods.
7. Linear Phase Finite Impulse Response (FIR) Filter design methods with discussion of the use of windowing functions.
8. FIR filter design by frequency sampling technique.
9. FIR filter design by impulse invariant technique.
|Assumed Knowledge||ELEC2400, MATH2420|
Callaghan and UoN Singapore
Face to Face On Campus 10 hour(s) per Term
Face to Face On Campus
per Week for
Face to Face On Campus 1 hour(s) per Week for Full Term
|Timetable||2018 Course Timetables for ELEC3400|