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ELEC 224  Continuous-Time Signals and Systems  Units: 3.75  
This is a first course on the basic concepts and applications of signals and systems analysis. Continuous time signals and systems are emphasized. Topics include: representations of continuous-time signals; linear time invariant systems; convolution, impulse response, step response; review of Laplace transforms with applications to circuit and system analysis; transfer function; frequency response and Bode plots; filtering concepts; Fourier series and Fourier transforms; signal spectra; AM modulation and demodulation; introduction to angle modulation.
(Lec: 3, Lab: 0.25, Tut: 0.5)
Requirements: Prerequisites: ELEC 221, MTHE 225 or MTHE 235 or MTHE 237 Corequisites: Exclusions:  
Offering Term: W  
CEAB Units:    
Mathematics 12  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 33  
Engineering Design 0  
Offering Faculty: Smith Engineering  

Course Learning Outcomes:

  1. Classify systems based on their properties: in particular, to understand and exploit the implications of linearity, time-invariance, causality, memory, and bounded-input, bounded-out (BIBO) stability.
  2. Understand the concepts of convolution, impulse response and transfer function and how they apply to continuous-time linear time-invariant systems.
  3. Determine Fourier transforms for continuous-time, and understand how to interpret and plot Fourier transform magnitude and phase functions.
  4. Use Laplace transform and its inverse to solve differential equations and to determine the response of linear time-invariant systems to known inputs.
  5. Derive the Fourier Transform and use it as a tool for frequency-domain analysis.
  6. Simulate signals and systems using modern computer software packages.
  7. Use linear systems tools, especially transform analysis and convolution, to analyze and predict the behavior of linear systems.