Linear algebra, signal processing, and wavelets - a unified approach : python version / by Øyvind Ryan.
This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example,...
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| Online Access: |
Full Text (via Springer) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2019.
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| Series: | Springer undergraduate texts in mathematics and technology
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| Subjects: |
Table of Contents:
- Sound and Fourier series
- Digital sound and discrete Fourier analysis
- Discrete time filters
- Motivation for wavelets and some simple examples
- The filter representation of wavelets
- Constructing interesting wavelets
- The polyphase representation of filter bank transforms
- Digital images
- Using tensor products to apply wavelets to images
- Appendix A: Basic linear algebra.