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22 - Rotary Spectrum Analysis

Published online by Cambridge University Press:  21 April 2022

Chunyan Li
Affiliation:
Louisiana State University
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Summary

The objective of this chapter is to introduce rotary spectrum analysis for velocity vector time series. When the two components of a velocity vector have different frequencies, the tip of the displacement vector would draw a figure called a Lissajous Figure. A special case of the Lissajous Figure is when the two components oscillate at the same frequency. Vector time series at a given frequency can only have a few basic patterns or a combination of these patterns: the tip of the vector would draw a line segment back and forth repeatedly, or rotate either clockwise or counterclockwise. This makes it necessary to study the rotary spectra for rotations in both directions. A rectilinear motion is a degenerated version or special case of rotary motion.

Type
Chapter
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Time Series Data Analysis in Oceanography
Applications using MATLAB
, pp. 399 - 414
Publisher: Cambridge University Press
Print publication year: 2022

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  • Rotary Spectrum Analysis
  • Chunyan Li, Louisiana State University
  • Book: Time Series Data Analysis in Oceanography
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108697101.023
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  • Rotary Spectrum Analysis
  • Chunyan Li, Louisiana State University
  • Book: Time Series Data Analysis in Oceanography
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108697101.023
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Rotary Spectrum Analysis
  • Chunyan Li, Louisiana State University
  • Book: Time Series Data Analysis in Oceanography
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108697101.023
Available formats
×