Sentence examples for modeling errors using from inspiring English sources

Fig. 7 Modeling errors using third-order function for each in LUT method Fig. 8 Modeling errors using fractional function for each pixel in LUT method.

However, it is no longer possible to improve the modeling errors using one modeling equation for the entire working volume.

Fig. 13 Modeling errors using fixed H in LUT method.

Fig. 5 Modeling errors using first-order function for each pixel in LUT method Fig. 6 Modeling errors using second-order function for each pixel in LUT method.

The coefficients a and b are then expressed by the following polynomial functions for the horizontal value u: Fig. 12 Modeling errors using combined functions for a, b, and H in LUT method a={a}_0+{a}_1u+{a}_n{u}^n+cdots +{a}_n{u}^n, (15) b={b}_0+{b}_n{u}^n_2{u}^2+cdots +{b}_n{u}^n, (16).

Figure 12 shows the modeling errors obtained using the combined functions instead of the LUT for a, b, and H.

The insights gained from this type of analysis may be directly applied to field problems in the presence of data errors, using standard inverse modeling approaches to deal with uncertainty in data.

An optimal residual generation with no modeling errors is used as the reference residual model of robust fault detection filter design for the uncertain discrete-time systems with both modeling errors and SNR constraints; then, the robust fault detection filter design is formulated as an optimal H∞ filtering problem.

Neglecting the modeling error, we use to evaluate the channel estimation variance.

We also show how modeling errors are identified using this approach.

The localization errors observed when the assumed skull conductivity ratio was highly inaccurate (80 1 instead of 25:1) were comparable to the relatively large modeling errors arising from use of a spherical model.