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BUILT-IN MATHEMATICA SYMBOL
HighpassFilter
HighpassFilter[data, 
c]
applies a highpass filter with a cutoff frequency 
to an array of data.
HighpassFilter[data, c, n]
uses a filter kernel of length n.
HighpassFilter[data, c, n, wfun]
applies a smoothing window wfun to the filter kernel.
Details and Options
- HighpassFilter works with arbitrary rank numerical arrays as well as with 3D and 2D images, operating separately on each channel.
- When applied to images and multidimensional arrays, filtering is applied successively to each dimension, starting at level 1. HighpassFilter[data, {c1, c2, ...}] uses the frequency
for the 
dimension. - HighpassFilter[data, c] uses a filter kernel length and smoothing window suitable for the cutoff frequency
and the input data. - Typical smoothing windows include:
-
BlackmanWindow smoothing with a Blackman window DirichletWindow no smoothing HammingWindow smoothing with a Hamming window {v1,v2,...} use a window with values 
f create a window by sampling f over the range 
and 
- HighpassFilter[data, c] takes a SampleRate option that specifies the sampling rate of the data. With SampleRate->r, the cutoff frequency
should be between 0 and 
. » - By default, SampleRate->1 is assumed for images as well as data.
- HighpassFilter works with SampledSoundList. With SampledSoundList[list, r], SampleRate->r is used.
- For multichannel sound and image objects, each channel is processed separately.
- HighpassFilter takes a Padding option that specifies the padding values to use on the sides of the input.
- The default setting is Padding->"Fixed", corresponding to repetitions of the elements on each side.
New in 9
