The fact that there was no significant difference in maximum attenuation but significant difference in minimum attenuation in a time series between LD and ULD can be explained by higher SNR after contrast enhancement.
When we analyzed β-blockers, statins, and insulin as potential confounders, we found that they were also not clinically significant, and adding them to the model resulted in less than 2% attenuation in both time periods (none of the ORs changed by > 0.01).
The analysis of noise attenuation in dead-time compensators (DTCs) for unstable processes is presented in this paper.
The analysis was realized using a finite element model that was calibrated through comparison with in-situ measurements, and the evaluation of the effectiveness of each configuration taken into account was performed calculating the amplitude reduction index Ar and analyzing the vibration attenuation capacity both in time and frequency domain.
Based on a novel approach, a sufficient condition is derived such that the closed-loop Markovian jump system is finite-time bounded and satisfies the prescribed level of H ∞ disturbance attenuation in a finite time interval.
As lean body mass is known to be the primary contributor to REE, the reduction in lean body mass is a plausible explanation for the attenuation in REE over time.
By selecting the appropriate Lyapunov Krasovskii functional, a sufficient condition is derived such that the filtering error dynamic fuzzy MJSs are finite-time stable and have a prescribed level of L2 L∞ disturbance attenuation in a finite time-interval.
Based on the selected Lyapunov Krasovskii functional, the finite-time H∞ filter is constructed to derive a sufficient condition such that the filtering error dynamic MJSs are finite-time bounded and satisfies a prescribed level of H∞ disturbance attenuation in a finite time-interval.
The system, based on time-encoded imaging, uses the attenuation signature of neutrons in time, induced by the geometrical layout and motion of the system.
Therefore, we conclude that postdictive attenuation can extend backwards in time for up to 375 ms. This is at least twice the window previously reported for such postdictive effects.
