wavelet_norm: Normalise Morlet wavelets
In craddm/eegUtils: Utilities for Electroencephalographic (EEG) Analysis
wavelet_norm R Documentation
Normalise Morlet wavelets
Description
Normalise the FFT'd Morlet wavelet family as recommended by Mike X Cohen,
dividing each wavelet by its absolute maximum. This should result in each
frequency being passed at unit amplitude, and the resulting convolution with
the signal should return units approximately on the original scale (i.e. uV^2
/ Hz). an alternative would be Frobenius norm?
Usage
wavelet_norm(mf_zp, n_freq)
Arguments
mf_zp
A zero-padded, FFT'd morlet wavelet family
n_freq
Number of frequencies
craddm/eegUtils documentation built on March 24, 2022, 9:17 a.m.
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| wavelet_norm | R Documentation |
Normalise Morlet wavelets
Description
Normalise the FFT'd Morlet wavelet family as recommended by Mike X Cohen, dividing each wavelet by its absolute maximum. This should result in each frequency being passed at unit amplitude, and the resulting convolution with the signal should return units approximately on the original scale (i.e. uV^2 / Hz). an alternative would be Frobenius norm?
Usage
wavelet_norm(mf_zp, n_freq)
Arguments
mf_zp |
A zero-padded, FFT'd morlet wavelet family |
n_freq |
Number of frequencies |
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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