Sentence examples for and the relative estimation from inspiring English sources

When 10% random noises are added, the convergence time increased and the relative estimation errors between estimated parameters and nominal parameters increased with the increase of noise.

This is simply not true because as the true SNR increases, the true channel strength increases as well (for a fixed true noise variance) and the relative estimation error (epsilon _{k}=|hat {h}_{k}|^{2}-|h_{k}|^{2}) is higher although the normalized error (tilde epsilon _{k}=epsilon _{k}/|h_{k}|^{2}) remains constant in average (i.e. the channel estimates' NRMSE remains constant).

This theory is fortified when we inspect Figures 12 and 13, which separately show the relative estimation errors of the I and Q components with respect to the gradient algorithm estimate.

The causality measures are evaluated in terms of the relative estimation error and the compromise between true and fictitious causal density in the brain network.

Fig. 9 The relative estimation error of the maximum likelihood estimation.

It can be clearly observed that the relative estimation approach provides more stable receiver DCB values.

b Consider P 10(t 0). Figure 9 shows the relative estimation error of the maximum likelihood estimation.

For high DNRs, underestimation of the noise has only a very small effect on the relative estimation error Δ d.

The blue lines in Fig. 5 refer to the single estimation approach, whereas the red-dot lines are obtained from the relative estimation approach.

Similar with the results of Fig. 8 a, b, we can find that the relative estimation error decreases with the increase of the number of samples.

Basically, the relative estimation accuracy for each category depend on how we allocate the ratio of samples for a given number of measurements.