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On the Moscow markets, this sleight of hand had a nickname: konvert, which means "envelope" and echoes the English verb "convert".
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We coded the package that participants received with "Color" (0 means brown envelope; 1 means blue envelope) and "Gift" (0 means without extra candy; 1 means with extra candy).
The proposed method extracts the mean envelope of the coarse image, and resamples the mean envelope to equal the original size during the sifting process.
The stopping criterion is 99% or a mean envelope less than 2 pixels.
The IMF is obtained when the mean envelope is close to zero in two-dimensional EMD.
Step 4. Expand the mean envelope to the original image size m i, j)(p, q).
Then, small fluctuations around the mean envelope are considered to be small noises.
EMD is applied for extracting the mean envelope of the signal.
Step 3. Compute the mean envelope m i, j)(t) from the upper and lower envelopes, as shown as (1).
These are used to obtain the parameters for the interval, i.e. the mean envelope and the mean interval.
The sifting process of two-dimensional EMD is interactive, and involves three main steps: (1) determining the extreme points; (2) interpolating the extreme points for the mean envelope; and (3) subtracting the signal using the mean envelope.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com