Sentence examples for minimizing the estimation from inspiring English sources

The computation is based on a distributed optimization approach that guarantees the stability of the estimator while minimizing the estimation error variance.

In the first one the robust waveforms are computed by minimizing the estimation error of the worst-case target realization and in the second, target estimation error of the scaled least square (SLS) estimator is minimized.

Since the channel estimation performance is affected directly by the positions of pilot tones, the optimization of pilot placement process known as having quite important role on minimizing the estimation errors has become a significant task for the multicarrier transmission technologies.

Instead of directly minimizing the estimation error, we choose to use an indirect metric related to the posterior distribution.

It is a challenging task to implement computationally efficient estimation techniques while minimizing the estimation error with the impact of I/Q imbalance.

It indicates that the traditional transmission frame [1, 2], i.e., sending and receiving the continuous data sequence only once, is not optimal in minimizing the estimation MSE.

Based on this model, MMSE estimators minimize the estimation error variance conditioned on the observations.

Based on this, assuming identical noise variances on all subcarriers and optimizing the weights to minimize the estimation variance under the constraint of an unbiased estimator, it can be shown that the MRC weights corresponding to the different subcarriers must be proportional to | Ĉ k |.

Hence, we obtain a general form of the linear estimator, appropriate for Rician fading channels, that minimizes the estimation error of channel matrix.

It has been shown in [48] that the estimate N ̂ opt of N opt can be found via (108) to minimize the estimation error of all of the states or the k th one as, respectively, N ̂ opt ≅ arg min n ∂ ∂n tr V n + 1, (109).

In addition, as the SDP method can achieve global minimal, if necessary, the estimated target position can be used to re-select the anchor Rx node to minimize the estimation error.