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At the APP layer, adaptive source coding is performed by changing the quantization (Q) level.
Different RD performance can be achieved by changing the quantization matrix values (QM) for the WZ frames DCT coefficients, thus defining different RD points.
This could be achieved by using different WZ GOP formats which generate low bitrates and/or complexity (the fact is that WZ encoding algorithm complexity decreases as that of GOP increases[4]), or by controlling the bitrate generated in the output of the transcoder by changing the Quantization Parameter (QP) (in the second half of the transcoder).
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The normed auto-covariance and cross-covariance functions at the principal points of the comparator that enable establishing changes of correlation between data vectors upon changing the quantization interval of signals are presented.
The estimates of covariance functions between the arrays of digital results in measuring the intensity of vibrations and the estimates of covariance functions of single arrays were calculated upon changing the quantization interval on the time scale.
The rate-distortion characteristics are modified by changing the nature of the quantization region that the Wyner-Ziv code imposes on the signal space.
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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