Course Information

18-290: Signals and Systems

Units:

12

Description:

This course develops the mathematical foundation and computational tools for processing continuous-time and discrete-time signals in both time and frequency domain. Key concepts and tools introduced and discussed in this class include linear time-invariant systems, impulse response, frequency response, convolution, filtering, sampling, and Fourier transform. Efficient algorithms like the fast Fourier transform (FFT) will be covered. The course provides background to a wide range of applications including speech, image, and multimedia processing, bio and medical imaging, sensor networks, communication systems, and control systems.
This course serves as entry and prerequisite for any higher level course in the fields of signal processing, communications, and control.

Prerequisites: 18-100
Corequisites: 18-202

Last Modified: 2018-04-25 4:39PM

Current session:

This course is currently being offered.

Semesters offered:

  • Fall 2018
  • Spring 2018
  • Fall 2017
  • Spring 2017
  • Fall 2016
  • Spring 2016
  • Fall 2015
  • Spring 2015
  • Fall 2014
  • Spring 2014
  • Fall 2013
  • Spring 2013
  • Fall 2012
  • Spring 2012
  • Fall 2011
  • Spring 2011
  • Fall 2010
  • Spring 2010
  • Fall 2009