cleanWT: Remove tiny fluctuations that may not be of interest.
In RBhupi/screim-pkg: Radar Echo Classification Method Using Wavelets.
Description
Usage
Arguments
Value
Description
This may not be needed for clean dataset.
Use when WT has too much noise with trial and error approach.
Usage
1
cleanWT(wt_sum, dbz_vol)
Arguments
wt_scan
2d wt image at a scale or sum of several scales.
times_sd
Default value=1. pixels with WT value < mean + times_sd * SD are removed.
Value
wt_scan with small values removed.
RBhupi/screim-pkg documentation built on May 29, 2020, 6:15 a.m.
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Description Usage Arguments Value
Description
This may not be needed for clean dataset. Use when WT has too much noise with trial and error approach.
Usage
1 | cleanWT(wt_sum, dbz_vol)
|
Arguments
wt_scan |
2d wt image at a scale or sum of several scales. |
times_sd |
Default value=1. pixels with WT value < mean + times_sd * SD are removed. |
Value
wt_scan with small values removed.
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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