Sentence examples for data interpolation methods from inspiring English sources

Different image reconstruction algorithms and data interpolation methods are used.

But, 2D scattered data interpolation methods cause huge computation time and other artifacts in the decomposition.

Here we offer a flexible, integrated system that employs a relational database to store point information, a modular system incorporating a choice of weather data interpolation methods, and a matrix inversion method that speeds computer calculations to display information on grids of any specified size, all with minimal user intervention.

In contrast, the scattered data interpolation method described in this paper exploits the topological structure and unsupervised learning algorithm of a 2D self-organizing feature map (SOFM) to iteratively create a polygonal surface mesh that takes the general shape of the underlying object.

Therefore, in practice, the engineers tend to use the method for life data to deal with the group data, by transferring the group data into life data by interpolation methods [102, 103].

For estimation of soil moisture at catchment level using observed point observations of soil moisture data, various interpolation methods such as weighted average, inverse distance interpolation, spline interpolation and kriging can be employed (Bárdossy and Lehmann 1998; Thattai and Islam 2000).

Three broad methods of scattered data interpolation are radial basis function methods, triangulation-based methods, and inverse distance weighted methods.

The choice of data preprocessing and interpolation methods was guided by their practical applicability and acceptance in the engineering hydrologic community.

Ultimately, the overall applicability of the interpolation process is evidenced by the close correlation of surface volume data generated by all interpolation methods.

Exposure misclassification error might exist; however, our risk estimates were insensitive to alternative interpolation methods (data not shown).

Increasing meteorological data availability and quality implies an adaptation of the interpolation methods for data combination.