Your English writing platform
Discover LudwigExact(54)
Since rank reduction offers a general principle for reduction of estimator variance and complexity, we consider the problem of designing low-rank estimators for HOS.
We show how noise reduction using the principle of rank reduction can be cast as an optimal filtering problem, and how different semi-orthogonal transformations affect the noise reduction performance.
For those service members who were convicted of sexual assault charges in 2011, the percentages of those punished through confinement, rank reduction, fines or punitive discharge or dismissal were all up from the previous year.
which suffers a rank reduction.
Rank reduction implicitly affects the signature matrix.
Thus, a rank reduction step follows.
Similar(6)
Especially our rank-reduction techniques are useful for any data analysis problem that involve large linear least-squares systems.
I will present sampling methods (taken from the Planck analysis team), and rank-reduction methods for large linear systems, that have enabled us to decrease the dimensionality of such problems.
Thus, L≤ min(N t,N f ) is required to establish the desired rank-reduction.
The multiple CFOs and DOAs are then derived by a rank-reduction approach.
Our algorithms are based on the rank-reduction paradigm and, in particular, signal subspace techniques.
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