Sentence examples for basis functions are processed from inspiring English sources

Empirically derived basis functions are processed through the Hilbert–Huang Transform to obtain magnitude, phase, and damping information.

These basis functions are found to work in interpolatory and extrapolatory processing modes and allow representation of texturing for deviations in the process variables.

In this paper, the basis functions are learned using a supervised process to obtain spectral patterns for different musical instruments.

As has its energy concentrated near the frequencies and, the DCT basis functions are well suited to represent a low-pass process by means of a small number of basis functions.

In explicit selection methods the basis functions are selected from a set of candidates with a search process.

The best basis functions are the ones that minimizes the mean square error of the fading process description given a finite set of basis functions.

The basis functions are specified with α = (m,n,G).

Symmetric basis functions are very useful in various applications.

A residual-based posteriori error estimator using RPHT-splines basis functions is derived to guide the local refinement process adaptively.

The number of basis functions is adaptively determined by minimizing the number of nonzero components in the coefficient vector during the sparse regularization process.

The number of basis functions is set to 100.