Exact(1)
A CDE benefits from the existing time correlation in the measured signal in order to sequentially elaborate the decimator pattern.
Similar(59)
As can be seen from (13), the existing time and phase synchronization errors result not only in a drift of the echo sampling windows which will cause RCM errors but also in the distortion of the azimuth-dependent phase history.
Such suggestions "could include the feasibility of moving from the existing time-based deferrals related to risk behaviors to alternate deferral options, such as the use of individual risk assessments".
It states: "We believe that changing the school day would both save the school a lot of money and also allow us to improve teaching and learning". It said the change could involve school starting earlier, from 08 30 or 08 40, instead of the existing time of 08 55 and finish "Friday at lunchtime for all pupils".
†for the existing time-dependent model with no trend indicators * p-value from the likelihood ratio test comparing the existing time-dependent model with and without the trend indicator **Akaike's Information Criterion ‡For all trend indicators, the value was expressed as a positive or negative number for an increase or decrease in the risk score, respectively.
Different from the existing fixed-time consensus protocols, both design parameters and the selected protocol function of the presented protocols determine the convergence rate and control input.
Differently from the existing average dwell-time technique, state-dependent switching control strategy is used to design the switching rule, which does not require the switching instants to be known in advance.
Most frequency-domain algorithms, as they are well known from the single-channel case, are derived from existing time-domain algorithms and are based on different heuristic strategies, e.g, for stepsize normalization.
We used the daily mortality risk scores from an existing time-dependent survival model to create five trend indicators: absolute and relative percent change in the risk score from the previous day; absolute and relative percent change in the risk score from the start of the trend; and number of days with a trend in the risk score.
The median value of the risk score from the existing model increased over time, while the variability of the risk score remained constant.
The data fusion techniques will borrow strengths across time and space from the existing data to derive a complete time series estimates for the variables of interest.
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