Fourier Transform And Its Applications Using Microsoft Excel


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Fourier Transform and Its Applications Using Microsoft EXCEL(R)


Fourier Transform and Its Applications Using Microsoft EXCEL(R)

Author: Shinil Cho

language: en

Publisher: Morgan & Claypool

Release Date: 2018-10-04


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This book demonstrates Microsoft EXCEL(R)-based Fourier transform of selected physics examples, as well as describing spectral density of the auto-regression process in relation to Fourier transform. Rather than offering rigorous mathematics, the book provides readers with an opportunity to gain an understanding of Fourier transform through the examples. They will acquire and analyze their own data following the step-by-step procedure outlined, and a hands-on acoustic spectral analysis is suggested as the ideal long-term student project.

Fourier Transform and Its Applications Using Microsoft EXCEL®


Fourier Transform and Its Applications Using Microsoft EXCEL®

Author: Shinil Cho

language: en

Publisher: Morgan & Claypool Publishers

Release Date: 2018-10-04


DOWNLOAD





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.

Fourier Transform and Its Applications Using Microsoft EXCEL®


Fourier Transform and Its Applications Using Microsoft EXCEL®

Author: Shinil Cho

language: en

Publisher:

Release Date: 2018


DOWNLOAD





This book demonstrates Microsoft EXCEL®-based Fourier transform of selected physics examples, as well as describing spectral density of the auto-regression process in relation to Fourier transform. Rather than offering rigorous mathematics, the book provides readers with an opportunity to gain an understanding of Fourier transform through the examples. They will acquire and analyze their own data following the step-by-step procedure outlined, and a hands-on acoustic spectral analysis is suggested as the ideal long-term student project.