The WaveletDenoise
node performs noise removal using the fast
wavelet transform[1,2] on a matrix of profiles.
Here are the node arguments:
W: a matrix containing the wavelet coefficient vector for each
profile (e.g. infrared spectrum) in each row. So this node requires
that a previous wavelet transform has been performed (using e.g. the
WaveletTransform
or WaveletTransformb
nodes). The
denoising will be performed by changing the values of the individual
wavelet coefficients at different scales.
Wh: a matrix containing the denoised wavelet coefficient vector for each profile (e.g. infrared spectrum) in each row
SEE ALSO: WaveletDenoiseX
which is very similar to this
function, but differs in the way the the data to be denoised are
presented to the denoising methods. In WaveletDenoiseX
the raw
raw data matrix rather than the wavelet transform coefficients are used
Source: This node is using tools from the WavelLab toolbox which
can be downloaded from http://www-stat.stanford.edu/~wavelab/
Bjørn Kåre Alsberg 2006-04-06