Skip to main content

The Spectral Analysis of Random Signals

  • Chapter
Digital Signal Processing

Part of the book series: Signals and Communication Technology ((SCT))

  • 5238 Accesses

Abstract

When one calculates the DFT of a sequence of measurements of a random signal, one finds that the values of the elements of the DFT do not tend to “settle down” no matter how long a sequence one measures. In this chapter, we present a brief overview of the difficulties inherent in analyzing the spectra of random signals, and we give a quick survey of a solution to the problem—the method of averaged periodograms.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag London Limited

About this chapter

Cite this chapter

(2008). The Spectral Analysis of Random Signals. In: Digital Signal Processing. Signals and Communication Technology. Springer, London. https://doi.org/10.1007/978-1-84800-119-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-84800-119-0_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-118-3

  • Online ISBN: 978-1-84800-119-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics