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1 - Introduction

Published online by Cambridge University Press:  22 August 2018

Patrick Flandrin
Patrick Flandrin
Affiliation:
École normale supérieure de Lyon
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Summary

General considerations are given about signal processing and its place within data science. It is argued that its specificity is rooted in a balanced implication of tools and concepts from physics, mathematics, and informatics. Examples (Fourier, wavelets) are given for supporting this claim, and arguments are detailed for justifying why time-frequency analysis, which is the topic of this book, can be viewed as a natural language for nonstationary signal processing. The Introduction is also the place where to present a roadmap for the way to read the book.

Keywords

signal processingdata scienceFourierwavelettime-frequencymusical score
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Chapter
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Explorations in Time-Frequency Analysis , pp. 1 - 6
Publisher: Cambridge University Press
Print publication year: 2018

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  • Introduction
  • Patrick Flandrin
  • Book: Explorations in Time-Frequency Analysis
  • Online publication: 22 August 2018
  • Chapter DOI: https://doi.org/10.1017/9781108363181.002
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  • Introduction
  • Patrick Flandrin
  • Book: Explorations in Time-Frequency Analysis
  • Online publication: 22 August 2018
  • Chapter DOI: https://doi.org/10.1017/9781108363181.002
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.

  • Introduction
  • Patrick Flandrin
  • Book: Explorations in Time-Frequency Analysis
  • Online publication: 22 August 2018
  • Chapter DOI: https://doi.org/10.1017/9781108363181.002
Available formats
×