Description

Book Synopsis
This book demonstrates Microsoft EXCEL-based Fourier transform of selected physics examples. Spectral density of the auto-regression process is also described in relation to Fourier transform. Rather than offering rigorous mathematics, readers will "try and feel" Fourier transform for themselves through the examples. Readers can also acquire and analyze their own data following the step-by-step procedure explained in this book. A hands-on acoustic spectral analysis can be one of the ideal long-term student projects.

Table of Contents
  • Preface
  • Acknowledgments
  • Author biography
  • 1. The principle of superposition and the Fourier series
  • 2. The Fourier transform
  • 3. The EXCEL-based Fourier transform
  • 4. The Fourier transform in physics
  • 5. Beyond the Fourier transform spectroscopy
  • Appendix

    Fourier Transform and Its Applications Using

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    Order before 4pm tomorrow for delivery by Wed 14 Jan 2026.

    A Paperback / softback by Shinil Cho

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      View other formats and editions of Fourier Transform and Its Applications Using by Shinil Cho

      Publisher: Morgan & Claypool Publishers
      Publication Date: 30/10/2018
      ISBN13: 9781643272832, 978-1643272832
      ISBN10: 1643272837
      Also in:
      Applied physics Mathematical / Computational / Theoretical physics

      Description

      Book Synopsis
      This book demonstrates Microsoft EXCEL-based Fourier transform of selected physics examples. Spectral density of the auto-regression process is also described in relation to Fourier transform. Rather than offering rigorous mathematics, readers will "try and feel" Fourier transform for themselves through the examples. Readers can also acquire and analyze their own data following the step-by-step procedure explained in this book. A hands-on acoustic spectral analysis can be one of the ideal long-term student projects.

      Table of Contents
      • Preface
      • Acknowledgments
      • Author biography
      • 1. The principle of superposition and the Fourier series
      • 2. The Fourier transform
      • 3. The EXCEL-based Fourier transform
      • 4. The Fourier transform in physics
      • 5. Beyond the Fourier transform spectroscopy
      • Appendix

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