Package index • fCWTr

Fast continuous wavelet transform

Functions for performing fast continuous wavelet transforms. These constitue the core functionality of this package.

fcwt(): Fast continuous wavelet transform

fcwt_batch(): Fast continuous wavelet transform - Batch processing

Sigma helpers

Helpers to setup the correct wavelet spread parameter sigma.

sigma_freq_res_rel(): Calculates Relative Frequency Resolution

sigma_from_freq_res(): Determine Sigma from a frequency resolution requirement

sigma_from_freq_res_rel(): Determine Sigma from a relative frequency resolution requirement

sigma_from_time_res(): Determine Sigma from a time resolution requirement

sigma_res(): Calculates Time/Frequency Resolution

Physical unit helper

u(): Augment physical unit

du(): Drop physical unit

Scalogram S3 methods

A data.frame conversion method, data extractors, and optional ggplot2 plotting methods (they only work if ggplot is installed).

as.data.frame(<fcwtr_scalogram>): Convert the scalogram matrix to a data frame

as_tibble(<fcwtr_scalogram>): Convert the scalogram matrix to a tibble

as.matrix(<fcwtr_scalogram>): Extract the data matrix from a scalogram

`[`(<fcwtr_scalogram>): Extract parts of a scalogram

rbind(<fcwtr_scalogram>): Combine scalograms in "time" direction

print(<fcwtr_scalogram>): Print the scalogram

plot(<fcwtr_scalogram>): Scalogram plotting

autoplot(<fcwtr_scalogram>): Create a ggplot object resembling a scalogram

System support

Helper functions that let you check if your platform provides OpenMP or AVX support.

avx_enabled(): Check for AVX instruction set support

openmp_enabled(): Check for OpenMP support

Sample data

Sample signal data mainly used to generate examples. The signals consist of simple superpositions of sinusoidal patterns.

ts_piano_sample: A simple piano audio sample

ts_sin_440: Pure sine wave

ts_sin_sin: A sinusoidal wave with varying frequency

ts_sin_superpos: Superimposed sine waves of different frequencies and different amplitudes