MultiMAD: Apply Shrinkage with level-dependent Noise level estimation
In fabnavarro/rwavelet: Wavelet Analysis
MultiMAD R Documentation
Apply Shrinkage with level-dependent Noise level estimation
Description
Apply Shrinkage with level-dependent Noise level estimation
Usage
MultiMAD(wc, L)
Arguments
wc
Wavelet Transform of noisy sequence.
L
low-resolution cutoff for Wavelet Transform.
Value
ws result of applying VisuThresh to each wavelet level,
after scaling so MAD of coefficienst at each level = .6745
fabnavarro/rwavelet documentation built on Nov. 5, 2023, 1:01 p.m.
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| MultiMAD | R Documentation |
Apply Shrinkage with level-dependent Noise level estimation
Description
Apply Shrinkage with level-dependent Noise level estimation
Usage
MultiMAD(wc, L)
Arguments
wc |
Wavelet Transform of noisy sequence. |
L |
low-resolution cutoff for Wavelet Transform. |
Value
ws result of applying VisuThresh to each wavelet level,
after scaling so MAD of coefficienst at each level = .6745
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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