putD.wd3D | R Documentation |
This function put an array of wavelet coefficients, corresponding to a particular resolution level into a wd
wavelet decomposition object.
The pyramid of coefficients in a wavelet decomposition (returned from the wd3D
function, say) are packed into a single array in WaveThresh3
.
## S3 method for class 'wd3D' putD(x, v, ...)
x |
3D Wavelet decomposition object into which you wish to insert the wavelet coefficients. |
v |
This argument is a list with the following components:
|
... |
Other arguments |
The need for this function is a consequence of the pyramidal structure of Mallat's algorithm and the memory efficiency gain achieved by storing the pyramid as an array.
Note that this function is a method for the generic function putD
.
A new wd3D.object
is returned with the coefficients at level lev
in block given by block are replaced by the contents of a
, if a
is of the correct dimensions!
Version 3.9.6 Copyright Guy Nason 1997
G P Nason
accessD
, accessD.wd3D
, print.wd3D
, putD
, putDwd3Dcheck
, summary.wd3D
, threshold.wd3D
, wd3D
, wd3D.object
, wr3D
.
# # Generate some test data # a <- array(rnorm(8*8*8), dim=c(8,8,8)) # # Perform the 3D DWT # awd3D <- wd3D(a) # # Replace the second level coefficients by uniform random variables # in block GGG (for some reason) # # newsubarray <- list(a = array(runif(4*4*4), dim=c(4,4,4)), lev=2, block="GGG") awd3D <- putD(awd3D, v=newsubarray)
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