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EE103: Signals and Systems

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The course covers the following topics: characterization and analysis of continuous-time signals and linear systems, time domain analysis using convolution, frequency domain analysis using the Fourier series and the Fourier transform, the Laplace transform, transfer functions and block diagrams, continuous-time filters, sampling of continuous time signals, examples of applications to communications and control systems. Prerequisite(s): courses 101/L and Applied Mathematics and Statistics 20 or 20A. B. Friedlander, H. Sadjadpour

5 Credits

YearFallWinterSpringSummer
2012-13
  • Section 01
    Benjamin Friedlander
  • Section 01
    Hamid R. Sadjadpour
2011-12
  • Section 01
    Benjamin Friedlander
  • Section 01
    Hamid R. Sadjadpour
2010-11
  • Section 01
    Peyman Milanfar
  • Section 01
    Hamid R. Sadjadpour
2009-10
  • Section 01
    Benjamin Friedlander
  • Section 01
    Donald Wiberg
2008-09
  • Section 01
    Benjamin Friedlander
  • Section 01
    Hamid R. Sadjadpour
2007-08
  • Section 01
    Benjamin Friedlander
  • Section 01
    Benjamin Friedlander
2006-07
  • Section 01

  • Section 01
    Hamid R. Sadjadpour
2005-06
  • Section 01
    Hamid R. Sadjadpour
  • Section 01
    Staff
2004-05
  • Section 01
    Hamid R. Sadjadpour
  • Section 01
    Hamid R. Sadjadpour
2003-04
  • Section 01
    Hamid R. Sadjadpour
  • Section 01
    Staff
2002-03
  • Section 01
    Hamid R. Sadjadpour

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