Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The effectiveness of the proposed estimator is compared to several conventional methods, especially the quasi-weight least squares estimator, which does not have much computation load.
Similar(59)
Specifically, it is capable of generating sequences with required power spectrum density (PSD) and ACF behaviors within much less computation load compared with some typical algorithms in open literature.
However, using orders higher than 4 is not recommended since it will only increase the computation load without much gain except for a wider tracking range which is rarely necessary for fine frequency tracking.
So, it is often more desirable to use instead a multichannel analysis which offer a much more accurate model although it may complicate the system model and lead to an increase in computation load.
These analyses require considerably much computation time.
However, the computation load cannot be neglected.
Still, the overall computation load can be quite large.
It can provide high performance but takes much computation time.
Moreover, it can save much computation for subsequent processing.
That way the computation load can be kept relatively small.
Therefore, it is crucial to distribute the computation load evenly to multiple cores and to parallelize the computation efficiently.
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