Continuous wavelet transform with filter bank

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

= wt(`fb`

,`x`

)`x`

, using `fb`

, a CWT filter bank.
`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 array, 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).