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New filters represent further improvement of previously designed filters, by the same authors, in the sense of simplicity, higher accuracy, lesser approximation time and even a possibility to approximate signals generated by systems with built-in imperfections.
As a consequence, ANNs can be used for a variety of applications, among which are classification in medical applications [3, 5, 23, 35], descriptive modeling, clustering, function approximation, time series prediction [36] and sonar or radar detection [37].
An attempt to do that was reported by Verbanac et al. (2009), but they used "a single averaged external field approximation time series to be subtracted from each observatory data series", while our approach used such time series determined for each observatory of the study.
As an approximation, time scales for the fractional-order equations suggest that the conversion from the model variable t to real time can be modeled by using ((k_{XG})^{1/alpha}) as a rate of movement of glucose from the blood giving values in the range 0.007 to 0.02 min−1 which appear reasonable.
Treatment effects for the primary end points were evaluated using the Pitman permutation (new DUs) and log-rank test with asymptotic approximation (time to healing of the cardinal ulcer).
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These problems include a function approximation, a time series prediction and a complex system monitoring/estimation.
For different order approximation, CPU time required for evaluation of f″(1) is observed.
The WLST approximation in time corresponds to a Taylor approximation at the origin of the windowed signal spectrum.
In order to accommodate researchers dealing with numerical analysis, we propose a numerical approximation in time and space.
In fact, in function approximation where time limited basis are used, there is no perfect signal reconstruction.
Secondly, this relationship is transformed into a high-order approximation in time domain by using the temporal localization method.
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