Your English writing platform
Discover LudwigExact(1)
The proposed approach is compared to the correlation based wavelet selection (CBWS) and to the energy based wavelet selection (EBWS) methods for signals simulated and obtained from high voltage equipment, showing better filtering performance for over 70% of the tested signals and a smaller processing time.
Similar(59)
The scalability of the proposed gradient systems is also shown by means of an implementation using parallel computers, resulting in smaller processing times when compared with traditional SVM packages.
Using this methodology, the system was developed in several months, obtaining very good performance: good translation rates (10% Sign Error Rate) with small processing times, allowing face-to-face dialogues.
We also find that the reward bias, as measured by the position of the criterion
In practice, when searching in these small regions, the processing time can be shortened by using multiple Digital Signal Processors (DSPs) with a parallel structure.
At the same time, computation time for this task should be negligible or, at least, small compared to the processing time used by an interpretation program such as MSACOT that is saved by unselecting a large spectra subset.
Fortunately, real-time implementation is possible, because the processing time is smaller than the data length.
For all techniques and all available values of data length, the processing time is smaller than the data length.
Microfluidic devices require only a small sample, so the cost, processing time, and consumption of reagents are reduced.
In general the overhead of maintaining order in our approach is very small relative to the query processing time.
This result in approximately 24.6 ms per frame processing time, which is smaller than the speech signal frame rate.
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