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Convolution and Correlation

  • Robert M. Gray
  • Joseph W. Goodman
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 322)

Abstract

We have thus far considered Fourier transforms of single signals and of linear combinations of signals. In this chapter we consider another means of combining signals: convolution integrals and sums. This leads naturally to the related topics of correlation and products of signals. As with the transforms themselves, the details of the various definitions may differ depending on the signal type, but the definitions and the Fourier transform properties will have the same basic form.

Keywords

Discrete Time Autocorrelation Function Continuous Time Central Limit Theorem Equivalent Width 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Robert M. Gray
    • 1
  • Joseph W. Goodman
    • 1
  1. 1.Information Systems Laboratory Department of Electrical EngineeringStanford UniversityUSA

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