Signals and Systems I

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Note: This course is not available for the current semester.

Course No: 17.322; Last Offered: No Data;

Course Description

Introduction to signals and systems. Signal classification: continuous vs. discrete; deterministics vs. random. Normalized energy and power. Signal families, complex exponential, step impulse. Systems: time-domain representation by differential equations; linear time invariance; classical solution to various signal families; frequency domain representation by system function H(s); total solution of system with initial conditions using H(s). Block-diagram representation of systems and differential equations. Impulse and pulse response of LTI systems. Convolution methods; properties, scanning with impulses, convolution algebra. Fourier series analysis of systems with periodic inputs; properties, spectra and series development with impulse method. Fourier transforms; properties, energy and power signals, response of ideal and non- ideal filters. Nyquist's sampling theorem and its application. Laplace transform, properties and use, inversion by partial fractions, resides with s-plane vectors, application to LTI systems with initial conditions and sources. Introductions to digital elements and equations.

Prerequisites & Notes

  • Prerequisites: 92.234 and permission of instructor.
  • Special Notes:
  • Credits: 3;

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