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Using the motion vector information of frame n, the positions of its various pixels are found in the frame n−1 and their exact values are found using the prediction errors of the frame n by just subtracting them from their values in the frame n.
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Embed a bit into the prediction error value using the prediction error expansion and histogram shift method.
Extract a bit out of the modified prediction error value using the prediction error expansion and histogram shift method.
Connectedness between the reference populations and evaluated animals was calculated using the prediction error variance.
Black-box modeling using the prediction error method (PEM) was selected as the identification method.
The transfer function matrix of the system is identified using the prediction error (PE) identification method with multivariable ARX model.
Compute the prediction error such as e(n) = x (n) − x p (n). Embed a bit into the prediction error value using the prediction error expansion and histogram shift method.
Also, the parameters in (19) and (20) are estimated using the prediction error minimization (PEM) algorithm here, with the objective of minimizing prediction errors.
Compute the modified prediction error such as e(n) = x(n) − x p (n). Extract a bit out of the modified prediction error value using the prediction error expansion and histogram shift method.
That is, the proposed scheme is implemented by incorporating the perceptual quantization (φ O = 1.0) without using the prediction error preprocessor (γ O = 0).
The rates of genetic gain were determined using the prediction error variance covariance matrix of the traits included into the best linear prediction of breeding values.
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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