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Continuous wavelet transform with a filter bank

`cfs = wt(fb,x)`

`[cfs,f] = wt(fb,x)`

`[cfs,f,coi] = wt(fb,x)`

`[cfs,f,coi,scalcfs] = wt(fb,x)`

`[cfs,p] = wt(fb,x)`

`[cfs,p,coi] = wt(fb,x)`

`[cfs,p,coi,scalcfs] = wt(fb,x)`

returns the continuous wavelet transform (CWT) coefficients of the signal
`cfs`

= wt(`fb`

,`x`

)`x`

, using the CWT filter bank `fb`

.
`x`

is a double-precision real- or complex-valued vector.
`x`

must have at least 4 samples. If `x`

is real-valued, `cfs`

is a 2-D matrix where each row corresponds
to one scale. The column size of `cfs`

is equal to the length of
`x`

. If `x`

is complex-valued,
`cfs`

is a 3-D matrix, where the first page is the CWT for
the positive scales (analytic part or counterclockwise component) and the second
page is the cwt for the negative scales (anti-analytic part or clockwise
component).