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ELEC 324 Discrete-Time Signals and Systems Units: 4.00
This second course on signals and systems studies basic concepts and techniques for analysis and modeling of discrete-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 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.
(Lec: 3, Lab: 0.5, Tut: 0.5)
(Lec: 3, Lab: 0.5, Tut: 0.5)
Requirements: Prerequisites: ELEC 224
Corequisites:
Exclusions:
Offering Term: F
CEAB Units:
Mathematics 12
Natural Sciences 0
Complementary Studies 0
Engineering Science 36
Engineering Design 0
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Relate analog and discrete-time signals in terms of the sampling theorem.Represent and analyse discrete-time signals in time and frequency domains
- 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.
- Experimentally investigate the effects of sampling, choice of sampling frequency, and practical reconstruction.
- Apply discrete Fourier transform to generate spectrograms for spectral analysis of complex signals.