mvcwt: Computes the wavelet transform of a multivariate time series

In mvcwt: Wavelet Analysis of Multiple Time Series

Description

This function takes set a set of seqences as columns in a matrix and computes the continuous wavelet transform on each.

Usage

mvcwt(x, y, scale.exp = 0.5, nscales = get.nscales(x),
  min.scale = get.min.scale(x), max.scale = get.max.scale(x),
  scales = log2Bins(min.scale, max.scale, nscales), loc = regularize(x),
  wave.fun = "Morlet")

Arguments

x	sample locations
y	one or more columns of samples corresponding to x
scale.exp	scale output
nscales	number of scales to analyze
min.scale	minimum scale in units of x
max.scale	maximum scale in units of x
scales	a set of scales to analyze; overrides all other scale arguments
loc	the loci at which to evalues the wavelet function
wave.fun	a wavelet function

mvcwt documentation built on May 2, 2019, 1:59 p.m.