add citation to multiple places

R/fcwt.R

@@ -6,9 +6,15 @@
 #' i.e. a graph with a time and a frequency dimension.
 #'
 #' @details
-#'  The wavelet used in this calculation is the so called Morlet wavelet,
-#'  a sinusoidal wave modulated by a Gaussian whose spread is controlled by
-#'  the argument `sigma`.
+#' The wavelet used in this calculation is the so called Morlet wavelet,
+#' a sinusoidal wave modulated by a Gaussian whose spread is controlled by
+#' the argument `sigma`.
+#'
+#' See the original paper
+#' Arts, L.P.A., van den Broek, E.L.
+#' The fast continuous wavelet transformation (fCWT) for real-time, high-quality,
+#' noise-resistant time–frequency analysis.
+#' Nat Comput Sci 2, 47–58 (2022). \doi{10.1038/s43588-021-00183-z}
 #'
 #' @param signal
 #'  Real-valued time series. The time steps are assumed to be evenly spaced.

README.Rmd

@@ -25,6 +25,8 @@ knitr::opts_chunk$set(
 
 The R package fcwtr is a simple wrapper invoking the [fcwt library](https://github.com/fastlib/fCWT), a library implementing a [continuous wavelet transform](https://en.wikipedia.org/wiki/Continuous_wavelet_transform) with a Morlet wavelet, utilizing the power of [fftw](https://www.fftw.org/), a fast fourier transform implementation.
 
+See the original paper by Arts, L.P.A., van den Broek, E.L. The fast continuous wavelet transformation (fCWT) for real-time, high-quality, noise-resistant time–frequency analysis. Nat Comput Sci 2, 47–58 (2022). <https://doi.org/10.1038/s43588-021-00183-z>
+
 ## Dependencies
 
 -   R \>= 4.1

README.md

@@ -20,6 +20,11 @@ transform](https://en.wikipedia.org/wiki/Continuous_wavelet_transform)
 with a Morlet wavelet, utilizing the power of
 [fftw](https://www.fftw.org/), a fast fourier transform implementation.
 
+See the original paper by Arts, L.P.A., van den Broek, E.L. The fast
+continuous wavelet transformation (fCWT) for real-time, high-quality,
+noise-resistant time–frequency analysis. Nat Comput Sci 2, 47–58 (2022).
+<https://doi.org/10.1038/s43588-021-00183-z>
+
 ## Dependencies
 
 - R \>= 4.1