Skip to main content

Time-domain description and convolution

  • Chapter
Digital Signal Processing

Abstract

In the previous chapter we saw how the Fourier and Laplace transforms can be used to represent signals and calculate the response of a linear system to a fairly general input signal. If we use Laplace or Fourier transforms to represent signals or systems we are said to be working in the ‘frequency domain’ or ‘transform domain’. In contrast, the original signal x(t) is said to be in the ‘time-domain’. To calculate the response of a system to the signal x(t) we first transform the signal to the frequency domain. We then multiply the transform of the input by the frequency response or transfer function of the system to get the output (in the frequency domain). Finally we inverse transform to get back to the time-domain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Copyright information

© 1999 Bernard Mulgrew, Peter M. Grant and John S. Thompson

About this chapter

Cite this chapter

Mulgrew, B., Grant, P., Thompson, J. (1999). Time-domain description and convolution. In: Digital Signal Processing. Palgrave, London. https://doi.org/10.1007/978-1-349-14944-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-349-14944-5_2

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-0-333-74531-1

  • Online ISBN: 978-1-349-14944-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics