Sentence examples for order selection and from inspiring English sources

Order selection and chip gaps are described more fully in Section 8.2.1.

Particular attention is focused on two parts of this process, namely model order selection and model tuning.

In the proposed methodology a non-parametric estimate of the battery dynamics and non-linear characteristics are first obtained which assists in the model order selection, and to assess the level of non-linearity.

Two improvements, model order selection and mode matching for estimating the frequencies, damping ratios and mode shapes of electromechanical oscillations via subspace identification methods have been presented in this paper.

In the context of model identification, this is referred to as Model Order Selection and methods such as the final prediction error (FPE), AIC, residual variance (RV), MDL and Hannan and Quinn (HNQ) methods [175] may be considered to solve this problem.

Akaike Information Criterion (AIC) [ 32, 34] and the Student's t-test [ 30] were applied for system order selection and for determining significance of the protein interactions.

It is for this reason that one of the key points of this paper is the identification of the set of active sensors, a purpose that will be achieved through the help of model order selection techniques and the spatial structure of the neighboring sensors.

This result is used for obtaining modified versions of the AR order selection criteria FPE and AIC in the finite sample case.

Well, it really boils down to what matters most when you order: selection, speed, price and style.

The method is based on extrapolation of the two-step explicit midpoint rule and incorporates adaptive time step and order selection.

The maximum likelihood parameter estimation method and AIC model order selection method are well-known and widely used system identification methods from experimental data.