fmriu.freq.bandpass_fft: Bandpass Fourier Transform
In neurodata/fmriutils: fMRI Derivative Utilities
Description
Usage
Arguments
Value
Author(s)
Description
A utility function for bandpass-fourier-transforming timeseries data.
Usage
1
fmriu.freq.bandpass_fft(signal, tr = NaN, lc = NaN, hc = NaN)
Arguments
signal
[nbin, nroi]: an input signal.
tr
[1]: the repetition time of the data (in seconds).
lc
[1]: the lower cutoff (in Hz) for the fourier transform. fourier components below this will be set to 0.
hc
[1]: the high cutoff (in Hz) for the fourier transform. fourier components above this will be set to 0.
Value
f [nbin/2, nroi]: the single-sided frequency domain of the signal per roi.
Author(s)
Eric Bridgeford
neurodata/fmriutils documentation built on May 14, 2019, 2:30 p.m.
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Description Usage Arguments Value Author(s)
Description
A utility function for bandpass-fourier-transforming timeseries data.
Usage
1 | fmriu.freq.bandpass_fft(signal, tr = NaN, lc = NaN, hc = NaN)
|
Arguments
signal |
[nbin, nroi]: an input signal. |
tr |
[1]: the repetition time of the data (in seconds). |
lc |
[1]: the lower cutoff (in Hz) for the fourier transform. fourier components below this will be set to 0. |
hc |
[1]: the high cutoff (in Hz) for the fourier transform. fourier components above this will be set to 0. |
Value
f [nbin/2, nroi]: the single-sided frequency domain of the signal per roi.
Author(s)
Eric Bridgeford
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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