Exact(2)
The channel estimation is updated in the BW algorithm at each iteration with: (A1).
Using the PSP approach, the channel estimation is updated along each survivor path each symbol period using Least Mean Square (LMS) or Recursive Least Squares (RLS) [9].
Similar(58)
More specifically, a method has been implemented according to which instantaneous estimations are updated by taking into account existing (historical) information on the user.
The porosity estimate was updated during the estimation of mass transfer rate parameters to account for the effect of pore diffusion on bulk flow.
Adaptive filtering is a parameter estimation method in which the estimates are updated in real time as new data become available (Haykin, 1996; Brown et al., 2001).
In Eq. (11), when speech is present (i.e., when H 1), the estimation in the previous frame can be used; when speech is absent (i.e., when H 0), in order to reduce the variance of estimation, noise power is updated according to the current observation ( {Y}_k^2left t,kright) ) and the previous estimation ( {widehat{lambda}}_dleft t-1,kright) ).
State estimation: The state is updated using the classical EKF equations: K k = P k | k − 1 H k S k − 1 x k | k = x k | k − 1 + K k Y k P k | k = ( I − K k H k ) P k | k − 1 (12).
With the software we used in the present study, the estimation of arterial compliance is updated on a rolling 60-second average.
Properly building the tuning model helps the SMCPP estimation since the posterior state density is updated based on the discrepancy between the actual neural firings and the instantaneous firing rates estimated from the model.
We show that multi-level estimation, that is, updating the parameter prior information through sub-model analysis, can lead to a significant reduction in the parameter marginal posterior variance.
That is to say, in the LTVFF mechanism, the adaptation component is updated based on the instantaneous estimation error.
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