Sentence examples for advanced parametric from inspiring English sources

The advanced parametric methods always required less computational time than the basic parametric methods.

The theoretical aspects of the basic and advanced parametric methods proposed in literature were presented, focusing on their high accuracy while, at the same time, emphasizing how the advanced parametric methods have the advantage of having computational times that are significantly less than those required by the basis parametric methods.

In particular, advanced parametric methods for assessing waveform distortions (such as Prony and ESPRIT, and some hybrid methods) are critically compared on the basis of their accuracy and the computational effort required.

The basic and advanced parametric methods shown in Sections 1.2 and 1.3, respectively, were used to analyze the waveform distortion due to PVSs and WTSs, and the accuracy of their results and the computational burden of the methods were compared.

The advanced parametric methods were the following: the Three-step Sliding-Window ESPRIT-DFT-ESPRIT method; the Three-step Sliding-Window Prony-DFT-Prony method; the Sliding-Window Modified ESPRIT method; the Sliding-Window Modified Prony method.

As the first part of Table 1 shows, the percentage errors obtained using the SWEDEM and the SWPDEPM also were very low; however, the second part of Table 1 shows SWEDEM and SWPDEPM with higher errors for the amplitude than with the other basic and advanced parametric methods.

It was there that I educated myself on advanced 3D parametric modeling practices and emerging digital fabrication techniques.

An advance parametric FEA model for simulation of pitting arise phenomena on the gear teeth is presented in this article.

The interface allows advanced global and parametric search functions along with a download option, with direct connections to the relevant public databases.

Finally, a simplified model version that qualifies for partial replacement of full-scale fire tests or use in both a parametric study and advanced structural design is presented and conditionally validated.

The advanced statistical tools, such as non-parametric analysis of disease association, meta-analysis, Bayesian analysis, and decision theory, take an important place in analysis of disease dynamics.