Continuous Wavelet Transformation for Spectroscopy

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.

Continuous Wavelet Transformation for Spectroscopy

This is an R package is focused on the fast application of 1D - Continuous Wavelet Transformation (CWT) on time series with special attention to signals from spectroscopy. The current code has been enhanced using C++ language through Rcpp and RcppArmadillo packages, and run in parallel over samples using OpenMP. It was develop by J. Antonio Guzman Q. ([email protected]) at the University of Minnesota.

Installation

You can install the CWT using the CRAN platform following

# Pending
install.packages("CWT")

or using the development version in github following (recommended)

remotes::install_github("Antguz/CWT")

if you have problems also try

devtools::install_github("Antguz/CWT", INSTALL_opts= c("--no-multiarch"))

Citation

If you use this package in your research, please cite Zenodo record:

@software{makecite,
  author       = {Guzmán, J.A.},
  title        = {Continuous Wavelet Transformation for Spectroscopy},
  month        = May,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {v0.1.0},
  doi          = {10.5281/zenodo.4465 150},
  url          = {https://doi.org/10.5281/zenodo.4465150}
}