Fourier transform and its applications using Microsoft EXCEL� / Shinil Cho.

By: Cho, Shinil [author.]Contributor(s): Morgan & Claypool Publishers [publisher.] | Institute of Physics, IOP - EBA (Great Britain) [publisher.]Material type: TextTextSeries: IOP (Series)Release 5 | IOP concise physicsPublisher: San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, [2018]Distributor: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2018]Description: 1 online resource (various pagings) : illustrations (some color)Content type: text Media type: electronic Carrier type: online resourceISBN: 9781643272863 ebookSubject(s): Microsoft Excel (Computer file) | Fourier transformations -- Data processing | Transformations (Mathematics) -- Data processing | Applied physics | SCIENCE / Applied SciencesAdditional physical formats: Print version:: No titleDDC classification: 515/.723 LOC classification: QC20.7.F67 C564 2018ebOnline resources: e-book Full-text access Also available in print.
Contents:
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
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
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
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
5. Beyond the Fourier transform spectroscopy -- 5.1. LP method -- 5.2. ME method -- 5.3. LPC examples -- 5.4. LPC cepstrum.
Abstract: 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,

"Version: 20181001"--Title page verso.

"A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.

Includes bibliographical references.

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

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

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

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

5. Beyond the Fourier transform spectroscopy -- 5.1. LP method -- 5.2. ME method -- 5.3. LPC examples -- 5.4. LPC cepstrum.

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,

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

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 Universi

Title from PDF title page (viewed on November 8, 2018).