Dec 22, 2024  
2023-2024 Undergraduate Academic Catalog 
    
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2023-2024 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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ELE 3300 - Signals and Systems

3 lecture hours 0 lab hours 3 credits
Course Description
This course emphasizes the fundamental concepts underlying information-bearing signals and the systems that process those signals. Signals and systems will be modeled using common mathematical functions. System outputs will be determined using time- and frequency-domain techniques. Fourier techniques will be utilized for the analysis and synthesis of signals. Examples of multistage systems such as communication and sampling systems will be introduced and examined. MATLAB will be used for modeling and simulating signals and systems. (prereq: ELE 2011 , MTH 2140 ) (quarter system prereq: EE 2070 or EE 3002B or EE 2725, MA 235 or MA 3502)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Relate the mathematical expressions and transformations of signals to waveform plots
  • Interpret and apply the definitions of periodicity, symmetry, and energy/power as continuous-time signal properties
  • Interpret and apply the definitions of linearity, time-invariance, causality, and BIBO stability as continuous-time system properties
  • Determine the outputs of linear, time-invariant systems using time- and frequency-domain techniques
  • Plot and interpret signal spectra and system frequency responses.
  • Determine the Fourier series and transform representations of signals
  • Analyze multistage systems in block-diagram form, such as impulse-train sampling and communication systems
Prerequisites by Topic
  • Integral and differential calculus
  • Exponential form of a sinusoid
  • Circuit analysis with complex numbers
  • Circuit analysis with differential equations
  • Laplace transforms
Course Topics
  • Continuous-time signals, transformations, and signal properties
  • Continuous-time systems, properties, and convolution
  • Fourier series, spectra, and frequency response
  • Fourier transforms, spectra, and applications
  • Sampling and reconstruction of a sampled signal
  • Introduction to communication systems
Coordinator
Dr. Jay Wierer


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