MultiMAD: Apply Shrinkage with level-dependent Noise level estimation
In rwavelet: Wavelet Analysis
Description
Usage
Arguments
Value
Description
Apply Shrinkage with level-dependent Noise level estimation
Usage
1
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
rwavelet documentation built on Jan. 13, 2021, 10:38 a.m.
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Description Usage Arguments Value
Description
Apply Shrinkage with level-dependent Noise level estimation
Usage
1 | 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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