ELEC630 - Engineering Digital Signal Processing
This course presents the theory and practice of digital signal processing. Topics include review of discrete-time signals, systems and the Z-transform; sampling and quantization; Fourier transforms (DTFT, DFT and FFT) with applications to fast convolution; design techniques for FIR and IIR digital filters; realization structures for digital filters and finite precision effects; fundimentals of multirate signal processing and filter-banks; and DSP applications. Prerequisites: ELEC584, Engineering Signals and Systems and MATH410, Discrete Mathematics.
By the end of this course, students should have a good understanding of the following topics.
1. Frequency domain analysis
2. Fast Fourier Transform (FFT) and Efficient Computation of DFT
3. Discrete Fourier Transform
4. Z Transform & Transfer Function
5. Design of Digital filters
6. Probability & Random Variables
Course Learning Outcomes
(a) An appropriate mastery of the knowledge, techniques, skills and modern tools of their disciplines
(k) A commitment to quality, timeliness, and continuous improvement