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Hamming Window the test speech waveform using a frame size of 20 ms and a frame overlap of 50%.
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Note that R2 still uses a frame size of two as it does not know that T6 was identified and acknowledged in round two.
If only the collective tag estimate of the area is available and a uniform distribution is expected, all tags will use a frame size equal to, where is the tag estimate and is the number of readers.
The features are extracted using a frame and step size of 25 and 10 ms, respectively, i.e. a frame rate of 100 frames/s.
So R2 uses only a frame size of two time slots and ends up requiring two rounds as well.
A Plan-Apochromat 63×/1.4 oil DIC (differential interference contrast) objective was used and a frame size of 488 pixels×488 pixels×1 pixels.
Use a frame of the same size as your mold for your deckle.
In round two, R2 requires a frame size of two, and hence all readers use that frame size even though R1 had to read only one tag (R1 does not know that T4 has been put to sleep by R2).
A frame size of 20- and 5-ms frame shift was used.
Images with a frame size of 256×256 pixels were acquired.
Choose a frame size that will easily accommodate your collection.
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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