mvcwt (version 1.3.1)

mvcwt: Computes the wavelet transform of a multivariate 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