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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.
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About the Author
Shinil Cho attended Rikkyo University in Tokyo, Japan for his BS degree, Seoul National University in Seoul, Korea for MS, and the Ohio State University for Ph.D. He held post-doctoral fellowships at the Ohio State University and University of Florida, a visiting professor at University of South Carolina. He has been at La Roche College since 1995. Currently he is an Associate Professor at La Roche. He has conducted research in cryogenic magnetic resonance spectroscopy below 1 Kelvin and biometric fingerprint authentication. His current research interest includes quantum computation, biometrics, and physics education. Other than physics, he has many publications and presentations on biometrics in London, Tokyo, Hongkong, Singapore, and several cities in the United States.
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- PublisherIop Concise Physics
- Publication date2018
- ISBN 10 164327287X
- ISBN 13 9781643272870
- BindingHardcover
- LanguageEnglish
- Number of pages123
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Readers can also acquire and analyze their own data following the step-by-. Seller Inventory # 477464621
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781643272870
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