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Fourier transform and its applications using Microsoft EXCEL® /
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 un...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) :
Morgan & Claypool Publishers,
[2018]
|
| Colección: | IOP (Series). Release 5.
IOP concise physics. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000nam a2200000 4500 | ||
|---|---|---|---|
| 001 | IOP_9781643272863 | ||
| 003 | IOP | ||
| 005 | 20181114215902.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 181108s2018 caua ob 000 0 eng d | ||
| 020 | |a 9781643272863 |q ebook | ||
| 020 | |a 9781643272849 |q mobi | ||
| 020 | |z 9781643272832 |q print | ||
| 024 | 7 | |a 10.1088/978-1-64327-286-3 |2 doi | |
| 035 | |a (CaBNVSL)thg00978030 | ||
| 035 | |a (OCoLC)1065533656 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a QC20.7.F67 |b C564 2018eb | |
| 072 | 7 | |a PHV |2 bicssc | |
| 072 | 7 | |a SCI003000 |2 bisacsh | |
| 082 | 0 | 4 | |a 515/.723 |2 23 |
| 100 | 1 | |a Cho, Shinil, |e author. | |
| 245 | 1 | 0 | |a Fourier transform and its applications using Microsoft EXCEL® / |c Shinil Cho. |
| 264 | 1 | |a San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : |b Morgan & Claypool Publishers, |c [2018] | |
| 264 | 2 | |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : |b IOP Publishing, |c [2018] | |
| 300 | |a 1 online resource (various pagings) : |b illustrations (some color). | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a [IOP release 5] | |
| 490 | 1 | |a IOP concise physics, |x 2053-2571 | |
| 500 | |a "Version: 20181001"--Title page verso. | ||
| 500 | |a "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 1. The principle of superposition and the Fourier series -- 1.1. The principle of superposition -- 1.2. Wave equations -- 1.3. Fourier series -- 1.4. Orthonormal basis | |
| 505 | 8 | |a 2. The Fourier transform -- 2.1. From the Fourier series to the Fourier transform -- 2.2. Practical computational issues of the Fourier transform -- 2.3. Discrete Fourier transform and fast Fourier transform | |
| 505 | 8 | |a 3. The EXCEL-based Fourier transform -- 3.1. Data acquisition -- 3.2. Fourier transform -- 3.3. The effect of windowing function -- 3.4. Peak peeking -- 3.5. 2N-point FFT from N-point FFTs -- 3.6. Inverse Fourier transform | |
| 505 | 8 | |a 4. The Fourier transform in physics -- 4.1. Examples of acoustic spectra -- 4.2. Electronic circuits -- 4.3. Telecommunication signals -- 4.4. Spectroscopy -- 4.5. Fourier transform in optics -- 4.6. Quantum mechanics | |
| 505 | 8 | |a 5. Beyond the Fourier transform spectroscopy -- 5.1. LP method -- 5.2. ME method -- 5.3. LPC examples -- 5.4. LPC cepstrum. | |
| 520 | 3 | |a 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 538 | |a System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
| 545 | |a Shinil Cho attended Rikkyo University in Tokyo, Japan for his BS degree, Seoul National University in Seoul, Korea for his MS, and the Ohio State University for his PhD. He held post-doctoral fellowships at the Ohio State University and University of Florida, and was a visiting professor at University of South Carolina. He has been at La Roche College since 1995, where he is currently an Associate Professor. His current research interest includes quantum computation, biometrics, and physics education. | ||
| 588 | 0 | |a Title from PDF title page (viewed on November 8, 2018). | |
| 630 | 0 | 0 | |a Microsoft Excel (Computer file) |
| 650 | 0 | |a Fourier transformations |x Data processing. | |
| 650 | 0 | |a Transformations (Mathematics) |x Data processing. | |
| 650 | 7 | |a Applied physics. |2 bicssc | |
| 650 | 7 | |a SCIENCE / Applied Sciences. |2 bisacsh | |
| 710 | 2 | |a Morgan & Claypool Publishers, |e publisher. | |
| 710 | 2 | |a Institute of Physics (Great Britain), |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9781643272832 |
| 830 | 0 | |a IOP (Series). |p Release 5. | |
| 830 | 0 | |a IOP concise physics. | |
| 856 | 4 | 0 | |u https://iopscience.uam.elogim.com/book/978-1-64327-286-3 |z Texto completo |