Skip to main content

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

  • 1267 Accesses

Abstract

A fundamental problem in statistical signal processing is how to estimate the power spectrum of a random process given a finite number of it’s samples. Spectrum estimation has important applications in many fields of applied physics and engineering. Examples can be found, for instance, in oceanography, radar, geophysics, optics and oil exploration. See Kay (1988), Percival and Walden (1993), Hayes (1996) and Buttkus (2000).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer

About this chapter

Cite this chapter

Jahromi, O.S. (2007). Multirate Spectrum Estimation. In: Multirate Statistical Signal Processing. Signals and Communication Technology. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5317-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4020-5317-7_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-5316-0

  • Online ISBN: 978-1-4020-5317-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics