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Our method yields filters that perform exact prediction and differentiation even with short coefficient word lengths.
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The proposed Kalman interpolator filter method yields an adaptive algorithm and can be implemented recursively.
It can be seen from Figures 3 and 4 that the single-filter structure method yields the best SCR performance, while the least-squares method yields best SDR performance.
With regard to the SCR performance, the least-squares method yields increasing SCR with the increasing inverse filter length, while the single-filter structure method and the CAPZ method yield almost constant SCR with the increasing inverse filter length.
We show that the Gaussian filter based fiber orientation analysis method yields comparable results for both imaging techniques.
Summarizing the experimental results in advance, the proposed method yields higher PSNR than the spatial nonlocal means filtering and conventional wavelet shrinkage methods.
A design method for wave digital lattice filters is presented which yields filters with maximally flat magnitude behaviour in the passband, equiripple in the stopband, and nearly constant group delay over the entire frequency range.
Finally, two numerical examples are provided to illustrate the effectiveness of the proposed non-fragile filter design, wherein it is showed that the proposed method yields less conservative results over some existing methods.
But her admittedly unscientific curation method yields a complex and substantial experience.
Our method yields several improvements.
This method yields >95% MNC preparation.
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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