Skip to main content

Part of the book series: Lecture Notes in Chemistry ((LNC,volume 21))

  • 170 Accesses

Abstract

Interpretation of low resolution mass spectra is the field with the greatest number of applications of pattern recognition techniques in chemistry. Numerous methods of preprocessing, feature selection, training, and evaluation have been tested with mass spectral data in about 100 papers. Probably the first application of pattern recognition ideas in mass spectrometry has been reported by Raznikov and Talroze [235]; this Russian paper is summarized in [224].

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 39.99
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

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.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1980 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Varmuza, K. (1980). Spectral Analysis. In: Pattern Recognition in Chemistry. Lecture Notes in Chemistry, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93155-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-93155-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-10273-1

  • Online ISBN: 978-3-642-93155-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics