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Then the proposed noise model is applied with the Local Linear Minimum Mean Square Error filter to design an efficient image denoising method.
and where is given by the prediction error filter (5).
In [17], echo cancellation is done by an adaptive LMS filter while a linear prediction error filter removes the residual echo and noise.
An alternative idea that avoids applying the backward filter was proposed by applying the error filter F on the regression vector.
BB-ITF was implemented using the fast least-mean square (FLMS) algorithm [55] based on a 256-tap prediction error filter.
To reduce this bias, [13] proposed a method of calculating those variables using a time-domain adaptive prediction error filter (PEF).
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Furthermore, the error filtering system is stochastically stable.
This particularly allows to overcome the output observation error filtering or the necessity of the famous SPR condition.
In addition to the synthesis improvement (as an error prevention), a post-assembly error filtering method was devised and developed – consensus shuffling using MutS-protein filtering.
The convergence properties of the multiple error filtered-x (MEFX) LMS algorithm for active noise control system in the time domain are analyzed in the frequency domain.
This paper adopts a prediction-error method (PEM -based aPEM -based approachch is based on toe use of decorrelAFCng prediction error filters (PEFs).
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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