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15 - Properties of Fourier Transform

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 discuss the major properties of Fourier Transform for preparation of the subsequent chapters. Fourier Transform has some important properties. These properties are very useful for understanding much of the remainder of this book, such as filtering theory and its applications, the effect of finite sampling, and window functions. We discuss the major properties, but some have more important applications than others, depending on the question at hand. Their usage, if applicable, will become clear in later chapters. This chapter is theoretical and does not have MATLAB implementation, which is deferred to later chapters where relevant.

Type
Chapter
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Time Series Data Analysis in Oceanography
Applications using MATLAB
, pp. 267 - 278
Publisher: Cambridge University Press
Print publication year: 2022

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  • Properties of Fourier Transform
  • Chunyan Li, Louisiana State University
  • Book: Time Series Data Analysis in Oceanography
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108697101.016
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  • Properties of Fourier Transform
  • Chunyan Li, Louisiana State University
  • Book: Time Series Data Analysis in Oceanography
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108697101.016
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.

  • Properties of Fourier Transform
  • Chunyan Li, Louisiana State University
  • Book: Time Series Data Analysis in Oceanography
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108697101.016
Available formats
×