The phrase "adopting filter" is not correct in standard written English as it lacks clarity and context.
It could be used in a context discussing the implementation of a filtering mechanism or strategy, but it needs additional words for clarity.
Example: "The team is focused on adopting a filter to improve the quality of incoming data."
Alternatives: "implementing a filter" or "utilizing a filter".
However, conventional coding based approaches usually extract only one dominant orientation feature by adopting filters with discrete orientations, which is sensitive to the noise and rotation.
Some features were quietly rolled out from one platform to the other, such as Facebook adopting filters and Instagram offering advertising, and compatibility between the two social sites became apparent, with functionality such as sharing an Instagram post to Facebook.
Piryatinska et al. [75] presented a channel selection method for neonate EEG sleep state classification using a multivariate analysis approach adopting filtering with a complete search strategy for subset channel selection.
We are currently working on designing methods that explicitly use prior knowledge on the subject, to drive the feature selection step for example adopting filtering techniques [ 15] or designing appropriate kernel functions [ 56, 67].
It is demonstrated that the adopted filter achieves about 2.5 km accuracy in position estimation that fulfills the essential requirements of accuracy and convergence time for OD problem.
A comparative study with the classical and robust Kalman filters is performed through numerical simulations in order to validate the effectiveness of the adopted filter in case of magnetometer fault data.
The most notable feature of these new models is their insensitivity to the discretized test filtering operation, contrary to the Smagorinsky's model which shows strong dependence on the adopted filter parameter.
The main effect of the FFT domain filter is to suppress the transition band aliasing, making it possible to use halfband filters with the adopted filter specifications, while providing also very sharp stopband edges.
For YALE-2, we adopted filter results from the original analysis resulting in 20,633 reliably expressed probes [ 23].
The adopted filter led to the identification of 2011 and 2103 SNVs in the primary ALL and relapse samples, respectively.
