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...
Main Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Birkhäuser
2023, 2023
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Edition: | 2nd ed. 2023 |
Series: | Applied and Numerical Harmonic Analysis
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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