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Fast application of Continuous Wavelet Transformation ('CWT') on time series with special attention to spectroscopy. It is written using data.table and 'C++' language and in some functions it is possible to use parallel processing to speed-up the computation over samples. Currently, only the second derivative of a Gaussian wavelet function is implemented.
Package details |
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Author | J. Antonio Guzmán Q. [cre, aut, cph] (<https://orcid.org/0000-0002-0721-148X>) |
Maintainer | J. Antonio Guzmán Q. <antguz06@gmail.com> |
License | GPL (>= 3) |
Version | 0.2.1 |
URL | https://github.com/Antguz/CWT |
Package repository | View on CRAN |
Installation |
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