Numerical Fourier Analysis
New technological innovations and advances in research in areas such as spectroscopy, computer tomography, signal processing, and data analysis require a deep understanding of function approximation using Fourier methods. To address this growing need, this monograph combines mathematical theory and...
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| 主要な著者: | , , , |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Birkhäuser,
2023.
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| 版: | 2nd ed. 2023. |
| シリーズ: | Applied and Numerical Harmonic Analysis,
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| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1007/978-3-031-35005-4 |
| タグ: |
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目次:
- Chapter. 1. Fourier series
- Chapter. 2. Fourier transform
- Chapter. 3. Discrete Fourier transforms
- Chapter. 4. Multidimensional Fourier methods
- Chapter. 5. Fast Fourier transforms
- Chapter. 6. Chebyshev methods and fast DCT algorithms
- Chapter. 7. Fast Fourier transforms for nonequispaced data
- Chapter. 8. High dimensional FFT
- Chapter. 9. Numerical applications of DFT
- Chapter. 10. Prony method for reconstruction of structured functions
- Appendix A
- Index
- References.