SoftThresh: Apply Soft Threshold
In rwavelet: Wavelet Analysis
Description
Usage
Arguments
Value
See Also
Examples
Description
Apply Soft Threshold
Usage
1
SoftThresh(y, t)
Arguments
y
Noisy Data.
t
Threshold.
Value
x filtered result (y 1_|y|>t).
See Also
Examples
1
2
3
4
5
6
7
f <- MakeSignal('HeaviSine', 2^3)
qmf <- MakeONFilter('Daubechies', 10)
L <- 0
wc <- FWT_PO(f, L, qmf)
thr <- 2
wct <- SoftThresh(wc, thr)
fsoft <- IWT_PO(wct, L, qmf)
rwavelet documentation built on Jan. 13, 2021, 10:38 a.m.
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Description Usage Arguments Value See Also Examples
Description
Apply Soft Threshold
Usage
1 | SoftThresh(y, t)
|
Arguments
y |
Noisy Data. |
t |
Threshold. |
Value
x filtered result (y 1_|y|>t).
See Also
Examples
1 2 3 4 5 6 7 | f <- MakeSignal('HeaviSine', 2^3)
qmf <- MakeONFilter('Daubechies', 10)
L <- 0
wc <- FWT_PO(f, L, qmf)
thr <- 2
wct <- SoftThresh(wc, thr)
fsoft <- IWT_PO(wct, L, qmf)
|
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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