114,02 €
126,69 €
-10% with code: EXTRA
Fourier Transform and Its Applications Using Microsoft EXCEL(R)
Fourier Transform and Its Applications Using Microsoft EXCEL(R)
114,02
126,69 €
  • We will send in 10–14 business days.
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-…
126.69
  • Publisher:
  • ISBN-10: 1643272837
  • ISBN-13: 9781643272832
  • Format: 17.8 x 25.4 x 0.7 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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.

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  • Author: Shinil Cho
  • Publisher:
  • ISBN-10: 1643272837
  • ISBN-13: 9781643272832
  • Format: 17.8 x 25.4 x 0.7 cm, minkšti viršeliai
  • Language: English English

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.

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