9. New Approaches to Data Reduction in Mass Spectrometry

  1. Liang Li
  1. William E. Wallace1,
  2. Anthony J. Kearsley2 and
  3. Charles M. Guttman1

Published Online: 6 NOV 2009

DOI: 10.1002/9780470567234.ch9

Maldi Mass Spectrometry for Synthetic Polymer Analysis, Volume 175

Maldi Mass Spectrometry for Synthetic Polymer Analysis, Volume 175

How to Cite

Wallace, W. E., Kearsley, A. J. and Guttman, C. M. (2009) New Approaches to Data Reduction in Mass Spectrometry, in Maldi Mass Spectrometry for Synthetic Polymer Analysis, Volume 175 (ed L. Li), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470567234.ch9

Editor Information

  1. Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada

Author Information

  1. 1

    Polymers Division, National Institute of Standards and Technology, Gaithersburg, MD, USA

  2. 2

    Mathematical and Computational Sciences Division, National Institute of Standards and Technology, Gaithersburg, MD, USA

Publication History

  1. Published Online: 6 NOV 2009
  2. Published Print: 23 NOV 2009

Book Series:

  1. Chemical Analysis

Book Series Editors:

  1. J. D. Winefordner

ISBN Information

Print ISBN: 9780471775799

Online ISBN: 9780470567234

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Keywords:

  • new approaches to data reduction in mass spectrometry;
  • mass autocorrelation;
  • time-series segmentation examples

Summary

This chapter contains sections titled:

  • Introduction

  • Previous Approaches

  • Two New Concepts

  • Mass Autocorrelation

  • Mass Autocorrelation Example

  • Time-Series Segmentation

  • Time-Series Segmentation Examples

  • Future Directions

  • Acknowledgment

  • References