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First, let us show the invalid of overlap-add method under fast time-varying channels.
For simplicity, we will consider the overlap-add method under fast time-varying channels in the SC-FDE system.
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The algorithm proposed by Timofte et al. (2015) is the fastest known method under this approach [5].
In this study, a detailed numerical method was used to simulate the evolution of biomass particles under fast pyrolysis conditions.
The eight methods under consideration include fast non-dominated sort (FNS) [7], generalized Jensen's sort [54], divide-and-conquer-based sort [53], deductive sort [28], corner sort [30], M-front [55], ENS-SS [29], and T-ENS [23].
Our fast alignment method relies on fast rotational matching.
Assays were performed under fast cycling conditions on an Applied Biosystems StepOne Plus thermocycler, and all data were analysed using the comparative Ct method using the associated StepOne analytical software.
In addition, the MulRF method is fast, estimating 100-taxon species trees from hundreds of gene trees in under two minutes and a plant data set with 22 taxa and nearly 2000 gene trees in just over 4 minutes.
The convergence of our method is fast.
This method is fast.
This method was fast and effective.
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