Your English writing platform
Discover LudwigExact(60)
An optimization problem is presented to determine the optimal filter gains.
Based on different system metrics, multi-objective optimization is applied in order to obtain the optimal filter setup.
Once the optimal filter meeting the EANM expected values is determined, the filtered PET data can be used for both local and multicentre quantitative PET analysis.
The Parks-McClellan FIR filter design algorithm is an industry standard algorithm for creating the optimal filter given a desired magnitude for the frequency response.
An optimal filter depends on the parameters governing the distribution of the random set.
While their solution is very elegant, the optimal filter is infinite dimensional.
We identify optimal filter parameters to yield a uniform intensity distribution within the working area.
In combination with multiscale approach, a multiscale optimal filter method for micro-motion measurement is proposed.
Next, a globally optimal filter is designed to further recover the coding loss.
The core of the search problem is the inversion set of the optimal filter.
The derived optimal filter eliminates the influence of channel noise in the feedback channel.
Write better and faster with AI suggestions while staying true to your unique style.
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