Description
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Description

This second course on signals and systems studies basic concepts and techniques for analysis and modeling of discrete-time signals and systems, building on a first course (ELEC 323) where students learned continuous-time signals and systems. The topics of this course are: sampling, reconstruction, and digitization; representations and properties of discrete-time signals and systems; linear time-invariant (LTI) systems; difference equations; discrete-time Fourier series; discrete-time Fourier transform; discrete Fourier transform; z-transform; analysis of LTI systems; filtering and spectral analysis. Computational realizations of the analysis tools and their applications are explored in the laboratory using Matlab.

Course Learning Outcomes (CLOs)
  • Relate analog and discrete-time signals in terms of the sampling theorem
  • Represent and analyse discrete-time signals in time and frequency domains
  • Characterize signal transformations as systems and in terms of system properties
  • Characterize LTI systems in time, frequency, and z domains
  • Analyse LTI systems using frequency response and poles and zeroes
  • Analyse filters as LTI and rational systems
Credit Breakdown

Lecture: 3
Lab: 0.5
Tutorial: 0.5

Academic Unit Breakdown

Mathematics 12
Natural Sciences 0
Complementary Studies 0
Engineering Science 36
Engineering Design 0