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Direct Quadratic Spectrum Estimation with Irregularly Spaced Data

  • Donald W. Marquardt
  • Sherry K. Acuff
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 25)

Abstract

The Direct Quadratic Spectrum Estimation (DQSE) method was defined in Marquardt and Acuff, 1982. Some of the theoretical properties of DQSE were explored. The method was illustrated with several numerical examples. The DQSE method is versatile in handling data that have irregular spacing or missing values; the method is computationally stable, is robust to isolated outlier observations in irregularly spaced data, is capable of fine frequency resolution, makes maximum use of all available data, and is easy to implement on a computer. Moreover, DQSE, coupled with irregularly spaced data, can provide a powerful diagnostic tool because irregularly spaced data are inherently resistant to aliasing problems that often are a limitation with equally spaced data.

Keywords

Spectral Window Nyquist Frequency Outlier Data Point Irregular Spacing Poisson Sampling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  • Donald W. Marquardt
    • 1
  • Sherry K. Acuff
    • 1
  1. 1.Engineering DepartmentE. I. du Pont de Nemours and Company, Inc.WilmingtonUSA

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