Jul 20, 2024  
2021-2022 Undergraduate Academic Catalog 
2021-2022 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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EE 3032 - Signals and Systems

4 lecture hours 0 lab hours 4 credits
Course Description
This course introduces fundamental engineering signals and systems analysis. Important signal and system topics include signal and system properties, impulse and step responses, convolution, Fourier series, Fourier transform, power and energy, frequency response, and sampling. Applications such as signal filtering, radar systems, music, and communication systems will be covered during in-class application modules. MATLAB will be used to model and simulate signals and systems. (prereq: EE 2070  or EE 3002B  or EE 2725 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Compute the output of a continuous-time, LTI system using time-domain techniques
  • Represent a continuous-time signal using a set of orthogonal basis functions.
  • Derive the Fourier series coefficients for a given periodic signal.
  • Determine and plot the magnitude and phase spectra of a signal using Fourier analysis.
  • Compute the power or energy, as appropriate, of a continuous-time signal using its time- or frequency-domain representation.
  • Compute the output of a continuous-time LTI system using frequency-domain techniques.
  • Determine the Fourier transform of a signal by using the Fourier transform integral or a table of common pairs and properties.
  • Analyze a multistage system in block-diagram form, such as a communication system
  • Determine the frequency-domain representation of an impulse-train sampled signal.

Prerequisites by Topic
  • Calculus
  • Circuit analysis
  • 1st and 2nd order differential equations
  • Laplace transforms

Course Topics
  • Introduction to signals and systems
  • Signal and system properties
  • Convolution integral and impulse and step responses
  • Fourier series and its properties
  • Fourier transform and its properties
  • Spectrum of a continuous-time signal
  • Calculation of signal power or energy
  • Bandwidth of signals and systems
  • Sampling and reconstruction of a sampled signal

Dr. Jay Wierer

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