This function takes set a set of seqences as columns in a matrix and computes the continuous wavelet transform on each.
1 2 3 4 | 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")
|
x |
sample locations |
y |
one or more columns of samples corresponding to |
scale.exp |
scale output |
nscales |
number of scales to analyze |
min.scale |
minimum scale in units of |
max.scale |
maximum scale in units of |
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 |
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