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.
- Semester 1 - 2016
- Trimester 2 - 2016 (Singapore)
1. Students should learn the fundamental distinctions and trade-offs between analog and digital signal processing paradigms.
2. Students should become proficient at several key analog and digital filter design methodologies.
3. Students should be able to design analog filters.
4. Students should be able to design, implement and test digital filters.
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.
Tutorial / Laboratory Exercises: Laboratory Exercises
Formal Examination: Formal Examination
Face to Face On Campus 10 hour(s) per Term
Face to Face On Campus 2 hour(s) per Week for Full Term
Students enrolled in the part-time evening program at UoN Singapore will receive equivalent instruction delivered in a block mode of 7 teaching weeks.
Face to Face On Campus 1 hour(s) per Week for Full Term