Description
Continuous Wavelet Transformation for Spectroscopy.
Description
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.
README.md
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}
}