Continuous wavelet
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Template:Short description In numerical analysis, continuous wavelets are functions used by the continuous wavelet transform. These functions are defined as analytical expressions, as functions either of time or of frequency. Most of the continuous wavelets are used for both wavelet decomposition and composition transforms. That is they are the continuous counterpart of orthogonal wavelets.[1][2]
The following continuous wavelets have been invented for various applications:[3]
- Poisson wavelet
- Morlet wavelet
- Modified Morlet wavelet
- Mexican hat wavelet
- Complex Mexican hat wavelet
- Shannon wavelet
- Meyer wavelet
- Difference of Gaussians
- Hermitian wavelet
- Beta wavelet
- Causal wavelet
- μ wavelets
- Cauchy wavelet
- Addison wavelet
See also
References
Page Template:Reflist/styles.css has no content.
- ^ Page Module:Citation/CS1/styles.css has no content.Abstract Harmonic Analysis of Continuous Wavelet Transforms. Springer Science & Business Media. 2005. ISBN 978-3-540-24259-8.
- ^ Page Module:Citation/CS1/styles.css has no content.Bhatnagar, Nirdosh (2020-02-18). Introduction to Wavelet Transforms. CRC Press. ISBN 978-1-000-76869-5.
- ^ Page Module:Citation/CS1/styles.css has no content.Combes, Jean-Michel; Grossmann, Alexander; Tchamitchian, Philippe (2012-12-06). Wavelets: Time-Frequency Methods and Phase Space Proceedings of the International Conference, Marseille, France, December 14–18, 1987. Springer Science & Business Media. ISBN 978-3-642-75988-8.
