findadds {adlift} | R Documentation |
Finds minimum number of inversion steps
Description
This function finds the minimum inversion steps to perform to fully reconstruct (a subset of) data
Usage
findadds(rem, neighbrs, po, index = 1:(length(rem) + length(po)))
Arguments
rem |
the |
neighbrs |
A list of neighbour indices corresponding to lifting
steps in a decomposition. See |
po |
The |
index |
a vector of indices into the original data, indicating which points should be fully reconstructed during inversion. |
Details
This function gives a computational shortcut to get datapoint
information in certain inversion cases. In some circumstances,when
inverting, you might only be interested in the inverted coefficients for
a subset of timepoints. In this case, it is not necessary to do a full
inversion to look at the desired coefficients; the function uses the
neighbourhood and removal order of the forward transform information and
notes: 1) when the desired points were lifted (if at all) and 2) when
the desired points were used as neighbours in prediction (if applicable).
The number of inversion steps needed for each index individually is then
taken as the maximum for these two conditions to be met. Inverting the
transform with this number will yield the correct inverted coefficient.
Note that to get the correct coefficients for all index
, the number of
inversion steps is max(adds)
.
Value
adds
: a vector corresponding to index
, each element
of which is
the number of inversion steps needed for that datapoint to be fully
reconstructed.
Author(s)
Matt Nunes (nunesrpackages@gmail.com)
See Also
Examples
#create data:
x<-runif(256)
f<-make.signal2("bumps",x=x)
#do forward transform:
fwd<-fwtnp(x,f)
#I want to invert enough so that points 1:3 are reconstructed.
adds<-findadds(fwd$removelist,fwd$neighbrs,fwd$pointsin,1:3)
adds
#now reconstruct...
fhat<-invtnp(fwd,f,nadd=max(adds))
#...and check that the desired points are the same:
f[1:3]
fhat[1:3]