"achieve matching" is a correct and usable phrase in written English.
It means to successfully reach a state of compatibility or agreement with someone or something. Example: The team worked hard to achieve matching colors and patterns for their uniforms.
For less specific interactions, appropriate tilts of the helix axis helps achieve matching with the substrate lattice periodicities.
The results demonstrate that both CMIA-H and CMIA-O achieve matching influence blocking performance to the greedy algorithms and consistently outperform other baseline heuristics, while they are several orders of magnitude faster than the greedy algorithms.
In this paper, we consider the model matching problem from the input-state viewpoint: given a desired LTI system, find conditions and provide a controller design procedure to achieve matching between the closed-loop system and the desired system state variables at the measurement update rate.
This requires reconstruction settings to be chosen so as to achieve matching convergence and spatial resolution across various systems and sites, especially within a multicentre setting [ 48, 58, 59].
Using the Welch two-sample, unpaired, one-tailed t-test we found that, as expected, both the SCIG doses (P = 0·008) and serum IgG concentrations (P = 0·071) were significantly higher in patients receiving doses adjusted to achieve matching AUC compared to those receiving doses equivalent to previous IVIG treatment.
It considers precisely the problem of how to achieve matching of modes (mode pairs).There are several possible motivations for modal correlation of which the most important is probably the model updating application.
An iterative algorithm is designed to achieve matched solutions of these two models.
Hence, it is impossible to recruit good hidden nodes, and thus it usually requires more hidden nodes than traditional neural networks to achieve matched performance.
A very good performance is achieved, matching the analytic formula for the spatial resolution of a MPGD-readout TPC.
IMS has set an advanced charging approach which achieves matching of traffic and service information [32, 33].
By replacing the optimal MAP equalizer with a suboptimal, low complexity MMSE equalizer, low complexity turbo equalization is achieved, while still achieving matched filter bound performance using static channels of length five[5].
