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Applying the reliability weight filters poor location prediction in making a forwarding decision.
The web application also supports interactive label and weight filtering.
Association weight filtering can be accomplished if numeric values are provided.
The weight filters reduce the number of combinations by about 43%, while the number of epitopes is only reduced by 3%.
The datasets shown in Fig. 2 and their time duration, weights, filtering and sampling were also the same as those in Yoshida et al. (1996).
Simulation results demonstrate the superiority of the proposed algorithm over existing algorithms such as the filtered-x least mean square, filtered-x logarithmic least mean square, filtered-x normalized least mean square and filtered weight filtered-x normalized least mean square algorithms in terms of convergence rate and noise reduction.
In addition, most of the robust methods are heavily dependent on selecting some weight filters which is not required in the proposed approach.
In [14], a new stochastic analysis for the FXLMS algorithm was introduced, using an analytical model not based on the independence theory [16], to derive the first moment of the adaptive weight filter.
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