SoftThresh: Apply Soft Threshold
In rwavelet: Wavelet Analysis
SoftThresh R Documentation
Apply Soft Threshold
Description
Apply Soft Threshold
Usage
SoftThresh(y, t)
Arguments
y
Noisy Data.
t
Threshold.
Value
A numeric vector with entries
x_i = \mathrm{sign}(y_i)\max(|y_i| - t, 0).
See Also
HardThresh
Examples
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 Aug. 29, 2026, 1:07 a.m.
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| SoftThresh | R Documentation |
Apply Soft Threshold
Description
Apply Soft Threshold
Usage
SoftThresh(y, t)
Arguments
y |
Noisy Data. |
t |
Threshold. |
Value
A numeric vector with entries
x_i = \mathrm{sign}(y_i)\max(|y_i| - t, 0).
See Also
HardThresh
Examples
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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